NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2205.05675
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of $\times$4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29.00dB on DIV2K validation set. IMDN is set as the baseline for efficiency measurement. The challenge had 3 tracks including the main track (runtime), sub-track one (model complexity), and sub-track two (overall performance). In the main track, the practical runtime performance of the submissions was evaluated. The rank of the teams were determined directly by the absolute value of the average runtime on the validation set and test set. In sub-track one, the number of parameters and FLOPs were considered. And the individual rankings of the two metrics were summed up to determine a final ranking in this track. In sub-track two, all of the five metrics mentioned in the description of the challenge including runtime, parameter count, FLOPs, activations, and memory consumption were considered. Similar to sub-track one, the rankings of five metrics were summed up to determine a final ranking. The challenge had 303 registered participants, and 43 teams made valid submissions. They gauge the state-of-the-art in efficient single image super-resolution.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2205.05675
- https://arxiv.org/pdf/2205.05675
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307225655
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4307225655Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2205.05675Digital Object Identifier
- Title
-
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and ResultsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-11Full publication date if available
- Authors
-
Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Hui Zheng, T. Yang, Peiran Ren, Xuansong Xie, Xian‐Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Cheng Shen, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Tracy Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Ye Tian, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng PengList of authors in order
- Landing page
-
https://arxiv.org/abs/2205.05675Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2205.05675Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2205.05675Direct OA link when available
- Concepts
-
Computer science, FLOPS, Ranking (information retrieval), Set (abstract data type), Rank (graph theory), Track (disk drive), Image (mathematics), Resolution (logic), Test set, Task (project management), Algorithm, Computer engineering, Artificial intelligence, Parallel computing, Mathematics, Engineering, Systems engineering, Programming language, Operating system, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4307225655 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2205.05675 |
| ids.doi | https://doi.org/10.48550/arxiv.2205.05675 |
| ids.openalex | https://openalex.org/W4307225655 |
| fwci | |
| type | preprint |
| title | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11105 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9987000226974487 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Advanced Image Processing Techniques |
| topics[1].id | https://openalex.org/T13114 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9483000040054321 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2214 |
| topics[1].subfield.display_name | Media Technology |
| topics[1].display_name | Image Processing Techniques and Applications |
| topics[2].id | https://openalex.org/T11165 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9375 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Image and Video Quality Assessment |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7685468196868896 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C3826847 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7449849247932434 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q188768 |
| concepts[1].display_name | FLOPS |
| concepts[2].id | https://openalex.org/C189430467 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6453598141670227 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7293293 |
| concepts[2].display_name | Ranking (information retrieval) |
| concepts[3].id | https://openalex.org/C177264268 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5809112191200256 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[3].display_name | Set (abstract data type) |
| concepts[4].id | https://openalex.org/C164226766 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5081813335418701 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7293202 |
| concepts[4].display_name | Rank (graph theory) |
| concepts[5].id | https://openalex.org/C89992363 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4760605990886688 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5961558 |
| concepts[5].display_name | Track (disk drive) |
| concepts[6].id | https://openalex.org/C115961682 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4481300115585327 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[6].display_name | Image (mathematics) |
| concepts[7].id | https://openalex.org/C138268822 |
| concepts[7].level | 2 |
| concepts[7].score | 0.43435704708099365 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1051925 |
| concepts[7].display_name | Resolution (logic) |
| concepts[8].id | https://openalex.org/C169903167 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4274480938911438 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3985153 |
| concepts[8].display_name | Test set |
| concepts[9].id | https://openalex.org/C2780451532 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4224981367588043 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[9].display_name | Task (project management) |
| concepts[10].id | https://openalex.org/C11413529 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4043135941028595 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[10].display_name | Algorithm |
| concepts[11].id | https://openalex.org/C113775141 |
| concepts[11].level | 1 |
| concepts[11].score | 0.33035558462142944 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q428691 |
| concepts[11].display_name | Computer engineering |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.3272843658924103 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C173608175 |
| concepts[13].level | 1 |
| concepts[13].score | 0.17496120929718018 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q232661 |
| concepts[13].display_name | Parallel computing |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.12247860431671143 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C127413603 |
| concepts[15].level | 0 |
| concepts[15].score | 0.06782031059265137 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[15].display_name | Engineering |
| concepts[16].id | https://openalex.org/C201995342 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q682496 |
| concepts[16].display_name | Systems engineering |
| concepts[17].id | https://openalex.org/C199360897 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[17].display_name | Programming language |
| concepts[18].id | https://openalex.org/C111919701 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[18].display_name | Operating system |
| concepts[19].id | https://openalex.org/C114614502 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[19].display_name | Combinatorics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7685468196868896 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/flops |
| keywords[1].score | 0.7449849247932434 |
| keywords[1].display_name | FLOPS |
| keywords[2].id | https://openalex.org/keywords/ranking |
| keywords[2].score | 0.6453598141670227 |
| keywords[2].display_name | Ranking (information retrieval) |
| keywords[3].id | https://openalex.org/keywords/set |
| keywords[3].score | 0.5809112191200256 |
| keywords[3].display_name | Set (abstract data type) |
| keywords[4].id | https://openalex.org/keywords/rank |
| keywords[4].score | 0.5081813335418701 |
| keywords[4].display_name | Rank (graph theory) |
| keywords[5].id | https://openalex.org/keywords/track |
| keywords[5].score | 0.4760605990886688 |
| keywords[5].display_name | Track (disk drive) |
| keywords[6].id | https://openalex.org/keywords/image |
| keywords[6].score | 0.4481300115585327 |
| keywords[6].display_name | Image (mathematics) |
| keywords[7].id | https://openalex.org/keywords/resolution |
| keywords[7].score | 0.43435704708099365 |
| keywords[7].display_name | Resolution (logic) |
| keywords[8].id | https://openalex.org/keywords/test-set |
| keywords[8].score | 0.4274480938911438 |
| keywords[8].display_name | Test set |
| keywords[9].id | https://openalex.org/keywords/task |
| keywords[9].score | 0.4224981367588043 |
| keywords[9].display_name | Task (project management) |
| keywords[10].id | https://openalex.org/keywords/algorithm |
| keywords[10].score | 0.4043135941028595 |
| keywords[10].display_name | Algorithm |
| keywords[11].id | https://openalex.org/keywords/computer-engineering |
| keywords[11].score | 0.33035558462142944 |
| keywords[11].display_name | Computer engineering |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.3272843658924103 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/parallel-computing |
| keywords[13].score | 0.17496120929718018 |
| keywords[13].display_name | Parallel computing |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.12247860431671143 |
| keywords[14].display_name | Mathematics |
| keywords[15].id | https://openalex.org/keywords/engineering |
| keywords[15].score | 0.06782031059265137 |
| keywords[15].display_name | Engineering |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2205.05675 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2205.05675 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2205.05675 |
| locations[1].id | doi:10.48550/arxiv.2205.05675 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2205.05675 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5100377386 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-8948-7892 |
| authorships[0].author.display_name | Yawei Li |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Li, Yawei |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5100323983 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6319-3722 |
| authorships[1].author.display_name | Kai Zhang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhang, Kai |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5052236177 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1478-0402 |
| authorships[2].author.display_name | Radu Timofte |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Timofte, Radu |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5001254143 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-3445-5711 |
| authorships[3].author.display_name | Luc Van Gool |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Van Gool, Luc |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5028409046 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Fangyuan Kong |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Kong, Fangyuan |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5010771903 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Mingxi Li |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Li, Mingxi |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5041983865 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-9892-0918 |
| authorships[6].author.display_name | Songwei Liu |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Liu, Songwei |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5089775519 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Zongcai Du |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Du, Zongcai |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5100456725 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-0931-1345 |
| authorships[8].author.display_name | Ding Liu |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Liu, Ding |
| authorships[8].is_corresponding | False |
| authorships[9].author.id | https://openalex.org/A5102221575 |
| authorships[9].author.orcid | |
| authorships[9].author.display_name | Chenhui Zhou |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Zhou, Chenhui |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5100350596 |
| authorships[10].author.orcid | https://orcid.org/0000-0001-7830-5291 |
| authorships[10].author.display_name | Jingyi Chen |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Chen, Jingyi |
| authorships[10].is_corresponding | False |
| authorships[11].author.id | https://openalex.org/A5059684459 |
| authorships[11].author.orcid | |
| authorships[11].author.display_name | Qingrui Han |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Han, Qingrui |
| authorships[11].is_corresponding | False |
| authorships[12].author.id | https://openalex.org/A5103160307 |
| authorships[12].author.orcid | https://orcid.org/0000-0002-7434-5947 |
| authorships[12].author.display_name | Zheyuan Li |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Li, Zheyuan |
| authorships[12].is_corresponding | False |
| authorships[13].author.id | https://openalex.org/A5101952325 |
| authorships[13].author.orcid | https://orcid.org/0009-0002-6329-3392 |
| authorships[13].author.display_name | Yingqi Liu |
| authorships[13].author_position | middle |
| authorships[13].raw_author_name | Liu, Yingqi |
| authorships[13].is_corresponding | False |
| authorships[14].author.id | https://openalex.org/A5100340522 |
| authorships[14].author.orcid | https://orcid.org/0000-0003-2156-4959 |
| authorships[14].author.display_name | Xiangyu Chen |
| authorships[14].author_position | middle |
| authorships[14].raw_author_name | Chen, Xiangyu |
| authorships[14].is_corresponding | False |
| authorships[15].author.id | https://openalex.org/A5027169198 |
| authorships[15].author.orcid | https://orcid.org/0000-0001-8155-9313 |
| authorships[15].author.display_name | Haoming Cai |
| authorships[15].author_position | middle |
| authorships[15].raw_author_name | Cai, Haoming |
| authorships[15].is_corresponding | False |
| authorships[16].author.id | https://openalex.org/A5100748135 |
| authorships[16].author.orcid | https://orcid.org/0000-0002-1889-2567 |
| authorships[16].author.display_name | Yu Qiao |
| authorships[16].author_position | middle |
| authorships[16].raw_author_name | Qiao, Yu |
| authorships[16].is_corresponding | False |
| authorships[17].author.id | https://openalex.org/A5100319450 |
| authorships[17].author.orcid | https://orcid.org/0000-0001-9965-0852 |
| authorships[17].author.display_name | Chao Dong |
| authorships[17].author_position | middle |
| authorships[17].raw_author_name | Dong, Chao |
| authorships[17].is_corresponding | False |
| authorships[18].author.id | https://openalex.org/A5100400831 |
| authorships[18].author.orcid | https://orcid.org/0000-0003-2772-5629 |
| authorships[18].author.display_name | Long Sun |
| authorships[18].author_position | middle |
| authorships[18].raw_author_name | Sun, Long |
| authorships[18].is_corresponding | False |
| authorships[19].author.id | https://openalex.org/A5048600941 |
| authorships[19].author.orcid | https://orcid.org/0000-0002-4431-0671 |
| authorships[19].author.display_name | Jinshan Pan |
| authorships[19].author_position | middle |
| authorships[19].raw_author_name | Pan, Jinshan |
| authorships[19].is_corresponding | False |
| authorships[20].author.id | https://openalex.org/A5100434324 |
| authorships[20].author.orcid | https://orcid.org/0000-0003-3000-3918 |
| authorships[20].author.display_name | Yi Zhu |
| authorships[20].author_position | middle |
| authorships[20].raw_author_name | Zhu, Yi |
| authorships[20].is_corresponding | False |
| authorships[21].author.id | https://openalex.org/A5036865117 |
| authorships[21].author.orcid | |
| authorships[21].author.display_name | Zhikai Zong |
| authorships[21].author_position | middle |
| authorships[21].raw_author_name | Zong, Zhikai |
| authorships[21].is_corresponding | False |
| authorships[22].author.id | https://openalex.org/A5100338978 |
| authorships[22].author.orcid | https://orcid.org/0000-0002-5906-264X |
| authorships[22].author.display_name | Xiaoxiao Liu |
| authorships[22].author_position | middle |
| authorships[22].raw_author_name | Liu, Xiaoxiao |
| authorships[22].is_corresponding | False |
| authorships[23].author.id | https://openalex.org/A5100430501 |
| authorships[23].author.orcid | https://orcid.org/0000-0001-6224-3620 |
| authorships[23].author.display_name | Hui Zheng |
| authorships[23].author_position | middle |
| authorships[23].raw_author_name | Hui, Zheng |
| authorships[23].is_corresponding | False |
| authorships[24].author.id | https://openalex.org/A5100338220 |
| authorships[24].author.orcid | https://orcid.org/0009-0000-7217-3304 |
| authorships[24].author.display_name | T. Yang |
| authorships[24].author_position | middle |
| authorships[24].raw_author_name | Yang, Tao |
| authorships[24].is_corresponding | False |
| authorships[25].author.id | https://openalex.org/A5081147881 |
| authorships[25].author.orcid | https://orcid.org/0000-0002-9111-055X |
| authorships[25].author.display_name | Peiran Ren |
| authorships[25].author_position | middle |
| authorships[25].raw_author_name | Ren, Peiran |
| authorships[25].is_corresponding | False |
| authorships[26].author.id | https://openalex.org/A5101763148 |
| authorships[26].author.orcid | https://orcid.org/0000-0002-3671-799X |
| authorships[26].author.display_name | Xuansong Xie |
| authorships[26].author_position | middle |
| authorships[26].raw_author_name | Xie, Xuansong |
| authorships[26].is_corresponding | False |
| authorships[27].author.id | https://openalex.org/A5024965898 |
| authorships[27].author.orcid | https://orcid.org/0000-0002-8232-5049 |
| authorships[27].author.display_name | Xian‐Sheng Hua |
| authorships[27].author_position | middle |
| authorships[27].raw_author_name | Hua, Xian-Sheng |
| authorships[27].is_corresponding | False |
| authorships[28].author.id | https://openalex.org/A5100452608 |
| authorships[28].author.orcid | https://orcid.org/0000-0002-9098-5071 |
| authorships[28].author.display_name | Yanbo Wang |
| authorships[28].author_position | middle |
| authorships[28].raw_author_name | Wang, Yanbo |
| authorships[28].is_corresponding | False |
| authorships[29].author.id | https://openalex.org/A5055612307 |
| authorships[29].author.orcid | |
| authorships[29].author.display_name | Xiaozhong Ji |
| authorships[29].author_position | middle |
| authorships[29].raw_author_name | Ji, Xiaozhong |
| authorships[29].is_corresponding | False |
| authorships[30].author.id | https://openalex.org/A5090180766 |
| authorships[30].author.orcid | |
| authorships[30].author.display_name | Chuming Lin |
| authorships[30].author_position | middle |
| authorships[30].raw_author_name | Lin, Chuming |
| authorships[30].is_corresponding | False |
| authorships[31].author.id | https://openalex.org/A5027893969 |
| authorships[31].author.orcid | |
| authorships[31].author.display_name | Donghao Luo |
| authorships[31].author_position | middle |
| authorships[31].raw_author_name | Luo, Donghao |
| authorships[31].is_corresponding | False |
| authorships[32].author.id | https://openalex.org/A5029021362 |
| authorships[32].author.orcid | https://orcid.org/0000-0002-4665-6852 |
| authorships[32].author.display_name | Ying Tai |
| authorships[32].author_position | middle |
| authorships[32].raw_author_name | Tai, Ying |
| authorships[32].is_corresponding | False |
| authorships[33].author.id | https://openalex.org/A5023834700 |
| authorships[33].author.orcid | https://orcid.org/0000-0003-4216-8090 |
| authorships[33].author.display_name | Chengjie Wang |
| authorships[33].author_position | middle |
| authorships[33].raw_author_name | Wang, Chengjie |
| authorships[33].is_corresponding | False |
| authorships[34].author.id | https://openalex.org/A5100685384 |
| authorships[34].author.orcid | https://orcid.org/0000-0001-6905-4478 |
| authorships[34].author.display_name | Zhizhong Zhang |
| authorships[34].author_position | middle |
| authorships[34].raw_author_name | Zhang, Zhizhong |
| authorships[34].is_corresponding | False |
| authorships[35].author.id | https://openalex.org/A5100385336 |
| authorships[35].author.orcid | https://orcid.org/0000-0003-2093-1788 |
| authorships[35].author.display_name | Yuan Xie |
| authorships[35].author_position | middle |
| authorships[35].raw_author_name | Xie, Yuan |
| authorships[35].is_corresponding | False |
| authorships[36].author.id | https://openalex.org/A5100344076 |
| authorships[36].author.orcid | https://orcid.org/0000-0001-6540-4522 |
| authorships[36].author.display_name | Cheng Shen |
| authorships[36].author_position | middle |
| authorships[36].raw_author_name | Cheng, Shen |
| authorships[36].is_corresponding | False |
| authorships[37].author.id | https://openalex.org/A5004843520 |
| authorships[37].author.orcid | https://orcid.org/0000-0003-3334-8655 |
| authorships[37].author.display_name | Ziwei Luo |
| authorships[37].author_position | middle |
| authorships[37].raw_author_name | Luo, Ziwei |
| authorships[37].is_corresponding | False |
| authorships[38].author.id | https://openalex.org/A5055653134 |
| authorships[38].author.orcid | https://orcid.org/0000-0002-0120-6110 |
| authorships[38].author.display_name | Lei Yu |
| authorships[38].author_position | middle |
| authorships[38].raw_author_name | Yu, Lei |
| authorships[38].is_corresponding | False |
| authorships[39].author.id | https://openalex.org/A5103936970 |
| authorships[39].author.orcid | |
| authorships[39].author.display_name | Zhihong Wen |
| authorships[39].author_position | middle |
| authorships[39].raw_author_name | Wen, Zhihong |
| authorships[39].is_corresponding | False |
| authorships[40].author.id | https://openalex.org/A5104085728 |
| authorships[40].author.orcid | https://orcid.org/0009-0001-7744-7906 |
| authorships[40].author.display_name | Qi Wu |
| authorships[40].author_position | middle |
| authorships[40].raw_author_name | Wu1, Qi |
| authorships[40].is_corresponding | False |
| authorships[41].author.id | https://openalex.org/A5100751534 |
| authorships[41].author.orcid | https://orcid.org/0000-0002-2142-7607 |
| authorships[41].author.display_name | Youwei Li |
| authorships[41].author_position | middle |
| authorships[41].raw_author_name | Li, Youwei |
| authorships[41].is_corresponding | False |
| authorships[42].author.id | https://openalex.org/A5102495774 |
| authorships[42].author.orcid | |
| authorships[42].author.display_name | Haoqiang Fan |
| authorships[42].author_position | middle |
| authorships[42].raw_author_name | Fan, Haoqiang |
| authorships[42].is_corresponding | False |
| authorships[43].author.id | https://openalex.org/A5100429011 |
| authorships[43].author.orcid | https://orcid.org/0000-0002-5918-8445 |
| authorships[43].author.display_name | Jian Sun |
| authorships[43].author_position | middle |
| authorships[43].raw_author_name | Sun, Jian |
| authorships[43].is_corresponding | False |
| authorships[44].author.id | https://openalex.org/A5039387461 |
| authorships[44].author.orcid | |
| authorships[44].author.display_name | Shuaicheng Liu |
| authorships[44].author_position | middle |
| authorships[44].raw_author_name | Liu, Shuaicheng |
| authorships[44].is_corresponding | False |
| authorships[45].author.id | https://openalex.org/A5046353442 |
| authorships[45].author.orcid | https://orcid.org/0000-0002-5242-9904 |
| authorships[45].author.display_name | Yuanfei Huang |
| authorships[45].author_position | middle |
| authorships[45].raw_author_name | Huang, Yuanfei |
| authorships[45].is_corresponding | False |
| authorships[46].author.id | https://openalex.org/A5046381970 |
| authorships[46].author.orcid | https://orcid.org/0000-0003-3796-2310 |
| authorships[46].author.display_name | Meiguang Jin |
| authorships[46].author_position | middle |
| authorships[46].raw_author_name | Jin, Meiguang |
| authorships[46].is_corresponding | False |
| authorships[47].author.id | https://openalex.org/A5022334521 |
| authorships[47].author.orcid | https://orcid.org/0000-0003-2587-1702 |
| authorships[47].author.display_name | Hua Huang |
| authorships[47].author_position | middle |
| authorships[47].raw_author_name | Huang, Hua |
| authorships[47].is_corresponding | False |
| authorships[48].author.id | https://openalex.org/A5100375136 |
| authorships[48].author.orcid | https://orcid.org/0000-0003-4690-1886 |
| authorships[48].author.display_name | Jing Liu |
| authorships[48].author_position | middle |
| authorships[48].raw_author_name | Liu, Jing |
| authorships[48].is_corresponding | False |
| authorships[49].author.id | https://openalex.org/A5100608023 |
| authorships[49].author.orcid | https://orcid.org/0000-0002-5839-6197 |
| authorships[49].author.display_name | Xinjian Zhang |
| authorships[49].author_position | middle |
| authorships[49].raw_author_name | Zhang, Xinjian |
| authorships[49].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2205.05675 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11105 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9987000226974487 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Advanced Image Processing Techniques |
| related_works | https://openalex.org/W4315697128, https://openalex.org/W4382323155, https://openalex.org/W3102845713, https://openalex.org/W3205506801, https://openalex.org/W2971502891, https://openalex.org/W4292794827, https://openalex.org/W4224939635, https://openalex.org/W2950871388, https://openalex.org/W2063781796, https://openalex.org/W4200296593 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2205.05675 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2205.05675 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2205.05675 |
| primary_location.id | pmh:oai:arXiv.org:2205.05675 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2205.05675 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2205.05675 |
| publication_date | 2022-05-11 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.3 | 100 |
| abstract_inverted_index.a | 32, 52, 176, 222 |
| abstract_inverted_index.43 | 232 |
| abstract_inverted_index.In | 116, 152, 182 |
| abstract_inverted_index.an | 28 |
| abstract_inverted_index.as | 91 |
| abstract_inverted_index.at | 77 |
| abstract_inverted_index.by | 137 |
| abstract_inverted_index.in | 179, 191, 241 |
| abstract_inverted_index.is | 89 |
| abstract_inverted_index.of | 22, 35, 40, 61, 82, 124, 131, 141, 157, 167, 186, 194, 214 |
| abstract_inverted_index.on | 7, 14, 38, 84, 145 |
| abstract_inverted_index.to | 26, 50, 65, 174, 209, 220 |
| abstract_inverted_index.up | 173, 219 |
| abstract_inverted_index.303 | 228 |
| abstract_inverted_index.And | 163 |
| abstract_inverted_index.The | 20, 47, 97, 129, 225 |
| abstract_inverted_index.aim | 48 |
| abstract_inverted_index.all | 185 |
| abstract_inverted_index.and | 18, 42, 73, 111, 149, 159, 203, 231 |
| abstract_inverted_index.for | 54, 94 |
| abstract_inverted_index.had | 99, 227 |
| abstract_inverted_index.low | 41 |
| abstract_inverted_index.one | 108 |
| abstract_inverted_index.set | 90, 148 |
| abstract_inverted_index.the | 3, 15, 23, 80, 92, 103, 117, 120, 125, 132, 138, 142, 146, 155, 164, 168, 187, 192, 195, 212, 239 |
| abstract_inverted_index.two | 113, 169 |
| abstract_inverted_index.was | 25, 49, 127 |
| abstract_inverted_index.2022 | 5 |
| abstract_inverted_index.IMDN | 88 |
| abstract_inverted_index.PSNR | 81 |
| abstract_inverted_index.They | 237 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.five | 188, 215 |
| abstract_inverted_index.high | 44 |
| abstract_inverted_index.made | 234 |
| abstract_inverted_index.main | 104, 118 |
| abstract_inverted_index.one, | 154, 211 |
| abstract_inverted_index.rank | 130 |
| abstract_inverted_index.set. | 87, 151 |
| abstract_inverted_index.task | 21 |
| abstract_inverted_index.test | 150 |
| abstract_inverted_index.that | 58 |
| abstract_inverted_index.this | 180 |
| abstract_inverted_index.two, | 184 |
| abstract_inverted_index.were | 134, 161, 171, 206, 217 |
| abstract_inverted_index.with | 12, 31 |
| abstract_inverted_index.DIV2K | 85 |
| abstract_inverted_index.FLOPs | 160 |
| abstract_inverted_index.NTIRE | 4 |
| abstract_inverted_index.based | 37 |
| abstract_inverted_index.final | 177, 223 |
| abstract_inverted_index.focus | 13 |
| abstract_inverted_index.gauge | 238 |
| abstract_inverted_index.image | 10, 30, 56, 244 |
| abstract_inverted_index.input | 29 |
| abstract_inverted_index.least | 78 |
| abstract_inverted_index.pairs | 39 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.teams | 133, 233 |
| abstract_inverted_index.track | 105 |
| abstract_inverted_index.valid | 235 |
| abstract_inverted_index.value | 140 |
| abstract_inverted_index.while | 76 |
| abstract_inverted_index.(model | 109 |
| abstract_inverted_index.FLOPs, | 71, 201 |
| abstract_inverted_index.count, | 200 |
| abstract_inverted_index.design | 51 |
| abstract_inverted_index.factor | 34 |
| abstract_inverted_index.memory | 74, 204 |
| abstract_inverted_index.number | 156 |
| abstract_inverted_index.single | 9, 55, 243 |
| abstract_inverted_index.summed | 172, 218 |
| abstract_inverted_index.track, | 119 |
| abstract_inverted_index.track. | 181 |
| abstract_inverted_index.tracks | 101 |
| abstract_inverted_index.29.00dB | 83 |
| abstract_inverted_index.Similar | 208 |
| abstract_inverted_index.average | 143 |
| abstract_inverted_index.images. | 46 |
| abstract_inverted_index.metrics | 67, 170, 189, 216 |
| abstract_inverted_index.network | 53 |
| abstract_inverted_index.ranking | 178 |
| abstract_inverted_index.reviews | 2 |
| abstract_inverted_index.runtime | 122, 144 |
| abstract_inverted_index.several | 66 |
| abstract_inverted_index.(overall | 114 |
| abstract_inverted_index.absolute | 139 |
| abstract_inverted_index.achieved | 59 |
| abstract_inverted_index.baseline | 93 |
| abstract_inverted_index.directly | 136 |
| abstract_inverted_index.measured | 63 |
| abstract_inverted_index.proposed | 16 |
| abstract_inverted_index.ranking. | 224 |
| abstract_inverted_index.rankings | 166, 213 |
| abstract_inverted_index.results. | 19 |
| abstract_inverted_index.runtime, | 69, 198 |
| abstract_inverted_index.$\times$4 | 36 |
| abstract_inverted_index.according | 64 |
| abstract_inverted_index.challenge | 6, 24, 98, 196, 226 |
| abstract_inverted_index.determine | 175, 221 |
| abstract_inverted_index.efficient | 8, 242 |
| abstract_inverted_index.including | 68, 102, 197 |
| abstract_inverted_index.mentioned | 190 |
| abstract_inverted_index.parameter | 199 |
| abstract_inverted_index.practical | 121 |
| abstract_inverted_index.solutions | 17 |
| abstract_inverted_index.sub-track | 107, 112, 153, 183, 210 |
| abstract_inverted_index.(runtime), | 106 |
| abstract_inverted_index.determined | 135 |
| abstract_inverted_index.efficiency | 62, 95 |
| abstract_inverted_index.evaluated. | 128 |
| abstract_inverted_index.individual | 165 |
| abstract_inverted_index.parameters | 158 |
| abstract_inverted_index.registered | 229 |
| abstract_inverted_index.resolution | 45 |
| abstract_inverted_index.validation | 86, 147 |
| abstract_inverted_index.considered. | 162, 207 |
| abstract_inverted_index.consumption | 75, 205 |
| abstract_inverted_index.description | 193 |
| abstract_inverted_index.improvement | 60 |
| abstract_inverted_index.maintaining | 79 |
| abstract_inverted_index.parameters, | 70 |
| abstract_inverted_index.performance | 123 |
| abstract_inverted_index.submissions | 126 |
| abstract_inverted_index.activations, | 72, 202 |
| abstract_inverted_index.complexity), | 110 |
| abstract_inverted_index.measurement. | 96 |
| abstract_inverted_index.submissions. | 236 |
| abstract_inverted_index.corresponding | 43 |
| abstract_inverted_index.magnification | 33 |
| abstract_inverted_index.participants, | 230 |
| abstract_inverted_index.performance). | 115 |
| abstract_inverted_index.super-resolve | 27 |
| abstract_inverted_index.state-of-the-art | 240 |
| abstract_inverted_index.super-resolution | 11, 57 |
| abstract_inverted_index.super-resolution. | 245 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 111 |
| citation_normalized_percentile |