Neural Super-Resolution in Real-Time Rendering Using Auxiliary Feature Enhancement Article Swipe
Zhihua Zhong
,
Guanlin Chen
,
Rui Wang
,
Yuchi Huo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4018/jdm.321544
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4018/jdm.321544
As the demand for high quality and high resolution in real-time rendering grows, superresolution is on its way to becoming a necessary component in modern real-time rendering applications (e.g., video games). The superresolution technique allows graphic applications to save computational costs by rendering at a lower resolution and reconstructing a high-resolution result. Nvidia introduced DLSS to the market as the first superresolution application in 2020, and NSRR was published on Siggraph the same year. Each of these approaches has shown powerful capabilities and is well suited to the needs of the industrial sector. In this paper, the authors propose the optimization potential of superresolution algorithms by introducing feature enhancement and feature caching modules and attempt to improve the current algorithms.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4018/jdm.321544
- https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517
- OA Status
- hybrid
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4365459846
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4365459846Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4018/jdm.321544Digital Object Identifier
- Title
-
Neural Super-Resolution in Real-Time Rendering Using Auxiliary Feature EnhancementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-13Full publication date if available
- Authors
-
Zhihua Zhong, Guanlin Chen, Rui Wang, Yuchi HuoList of authors in order
- Landing page
-
https://doi.org/10.4018/jdm.321544Publisher landing page
- PDF URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517Direct OA link when available
- Concepts
-
Rendering (computer graphics), Superresolution, Computer science, Feature (linguistics), High resolution, Artificial intelligence, Computer vision, Image (mathematics), Geology, Remote sensing, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4365459846 |
|---|---|
| doi | https://doi.org/10.4018/jdm.321544 |
| ids.doi | https://doi.org/10.4018/jdm.321544 |
| ids.openalex | https://openalex.org/W4365459846 |
| fwci | 0.0 |
| type | article |
| title | Neural Super-Resolution in Real-Time Rendering Using Auxiliary Feature Enhancement |
| biblio.issue | 3 |
| biblio.volume | 34 |
| biblio.last_page | 13 |
| biblio.first_page | 1 |
| 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 | 0.9998999834060669 |
| 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/T10688 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9973000288009644 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Image and Signal Denoising Methods |
| topics[2].id | https://openalex.org/T10531 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9962999820709229 |
| 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 | Advanced Vision and Imaging |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C205711294 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8657107353210449 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q176953 |
| concepts[0].display_name | Rendering (computer graphics) |
| concepts[1].id | https://openalex.org/C141239990 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7909537553787231 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q957423 |
| concepts[1].display_name | Superresolution |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.78803551197052 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2776401178 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4735521376132965 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12050496 |
| concepts[3].display_name | Feature (linguistics) |
| concepts[4].id | https://openalex.org/C3020199158 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4576804041862488 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q210521 |
| concepts[4].display_name | High resolution |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4407210052013397 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C31972630 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3558337092399597 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[6].display_name | Computer vision |
| concepts[7].id | https://openalex.org/C115961682 |
| concepts[7].level | 2 |
| concepts[7].score | 0.15369310975074768 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[7].display_name | Image (mathematics) |
| concepts[8].id | https://openalex.org/C127313418 |
| concepts[8].level | 0 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[8].display_name | Geology |
| concepts[9].id | https://openalex.org/C62649853 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[9].display_name | Remote sensing |
| concepts[10].id | https://openalex.org/C138885662 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[10].display_name | Philosophy |
| concepts[11].id | https://openalex.org/C41895202 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[11].display_name | Linguistics |
| keywords[0].id | https://openalex.org/keywords/rendering |
| keywords[0].score | 0.8657107353210449 |
| keywords[0].display_name | Rendering (computer graphics) |
| keywords[1].id | https://openalex.org/keywords/superresolution |
| keywords[1].score | 0.7909537553787231 |
| keywords[1].display_name | Superresolution |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.78803551197052 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/feature |
| keywords[3].score | 0.4735521376132965 |
| keywords[3].display_name | Feature (linguistics) |
| keywords[4].id | https://openalex.org/keywords/high-resolution |
| keywords[4].score | 0.4576804041862488 |
| keywords[4].display_name | High resolution |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.4407210052013397 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/computer-vision |
| keywords[6].score | 0.3558337092399597 |
| keywords[6].display_name | Computer vision |
| keywords[7].id | https://openalex.org/keywords/image |
| keywords[7].score | 0.15369310975074768 |
| keywords[7].display_name | Image (mathematics) |
| language | en |
| locations[0].id | doi:10.4018/jdm.321544 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S73024538 |
| locations[0].source.issn | 1063-8016, 1533-8010 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1063-8016 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Database Management |
| locations[0].source.host_organization | https://openalex.org/P4310320424 |
| locations[0].source.host_organization_name | IGI Global |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320424 |
| locations[0].source.host_organization_lineage_names | IGI Global |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Database Management |
| locations[0].landing_page_url | https://doi.org/10.4018/jdm.321544 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5005284573 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Zhihua Zhong |
| authorships[0].affiliations[0].raw_affiliation_string | Zhejiang University City College, China |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhihua Zhong |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Zhejiang University City College, China |
| authorships[1].author.id | https://openalex.org/A5102970671 |
| authorships[1].author.orcid | https://orcid.org/0009-0004-4735-0582 |
| authorships[1].author.display_name | Guanlin Chen |
| authorships[1].affiliations[0].raw_affiliation_string | Zhejiang University City College, China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Guanlin Chen |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Zhejiang University City College, China |
| authorships[2].author.id | https://openalex.org/A5100431257 |
| authorships[2].author.orcid | https://orcid.org/0009-0003-8935-3119 |
| authorships[2].author.display_name | Rui Wang |
| authorships[2].affiliations[0].raw_affiliation_string | Zhejiang University City College, China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Rui Wang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Zhejiang University City College, China |
| authorships[3].author.id | https://openalex.org/A5081150377 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-3296-7999 |
| authorships[3].author.display_name | Yuchi Huo |
| authorships[3].affiliations[0].raw_affiliation_string | Zhejiang University City College, China |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Yuchi Huo |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Zhejiang University City College, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Neural Super-Resolution in Real-Time Rendering Using Auxiliary Feature Enhancement |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| 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 | 0.9998999834060669 |
| 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/W4250542427, https://openalex.org/W3216672236, https://openalex.org/W2582295320, https://openalex.org/W2060809589, https://openalex.org/W3109786615, https://openalex.org/W2174759944, https://openalex.org/W2990948995, https://openalex.org/W2081348959, https://openalex.org/W4365459846, https://openalex.org/W2129380808 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.4018/jdm.321544 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S73024538 |
| best_oa_location.source.issn | 1063-8016, 1533-8010 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1063-8016 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Database Management |
| best_oa_location.source.host_organization | https://openalex.org/P4310320424 |
| best_oa_location.source.host_organization_name | IGI Global |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320424 |
| best_oa_location.source.host_organization_lineage_names | IGI Global |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Database Management |
| best_oa_location.landing_page_url | https://doi.org/10.4018/jdm.321544 |
| primary_location.id | doi:10.4018/jdm.321544 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S73024538 |
| primary_location.source.issn | 1063-8016, 1533-8010 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1063-8016 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Database Management |
| primary_location.source.host_organization | https://openalex.org/P4310320424 |
| primary_location.source.host_organization_name | IGI Global |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320424 |
| primary_location.source.host_organization_lineage_names | IGI Global |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=321544&isxn=9798369301517 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Database Management |
| primary_location.landing_page_url | https://doi.org/10.4018/jdm.321544 |
| publication_date | 2023-04-13 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2083790008, https://openalex.org/W2737368828, https://openalex.org/W2884453589, https://openalex.org/W1885185971, https://openalex.org/W2983810994, https://openalex.org/W2963470893, https://openalex.org/W1901129140, https://openalex.org/W3108686129, https://openalex.org/W2133665775, https://openalex.org/W3048388100, https://openalex.org/W2294432800, https://openalex.org/W3166741286 |
| referenced_works_count | 12 |
| abstract_inverted_index.a | 20, 44, 49 |
| abstract_inverted_index.As | 0 |
| abstract_inverted_index.In | 93 |
| abstract_inverted_index.as | 58 |
| abstract_inverted_index.at | 43 |
| abstract_inverted_index.by | 41, 105 |
| abstract_inverted_index.in | 9, 23, 63 |
| abstract_inverted_index.is | 14, 83 |
| abstract_inverted_index.of | 75, 89, 102 |
| abstract_inverted_index.on | 15, 69 |
| abstract_inverted_index.to | 18, 37, 55, 86, 115 |
| abstract_inverted_index.The | 31 |
| abstract_inverted_index.and | 6, 47, 65, 82, 109, 113 |
| abstract_inverted_index.for | 3 |
| abstract_inverted_index.has | 78 |
| abstract_inverted_index.its | 16 |
| abstract_inverted_index.the | 1, 56, 59, 71, 87, 90, 96, 99, 117 |
| abstract_inverted_index.was | 67 |
| abstract_inverted_index.way | 17 |
| abstract_inverted_index.DLSS | 54 |
| abstract_inverted_index.Each | 74 |
| abstract_inverted_index.NSRR | 66 |
| abstract_inverted_index.high | 4, 7 |
| abstract_inverted_index.same | 72 |
| abstract_inverted_index.save | 38 |
| abstract_inverted_index.this | 94 |
| abstract_inverted_index.well | 84 |
| abstract_inverted_index.2020, | 64 |
| abstract_inverted_index.costs | 40 |
| abstract_inverted_index.first | 60 |
| abstract_inverted_index.lower | 45 |
| abstract_inverted_index.needs | 88 |
| abstract_inverted_index.shown | 79 |
| abstract_inverted_index.these | 76 |
| abstract_inverted_index.video | 29 |
| abstract_inverted_index.year. | 73 |
| abstract_inverted_index.(e.g., | 28 |
| abstract_inverted_index.Nvidia | 52 |
| abstract_inverted_index.allows | 34 |
| abstract_inverted_index.demand | 2 |
| abstract_inverted_index.grows, | 12 |
| abstract_inverted_index.market | 57 |
| abstract_inverted_index.modern | 24 |
| abstract_inverted_index.paper, | 95 |
| abstract_inverted_index.suited | 85 |
| abstract_inverted_index.attempt | 114 |
| abstract_inverted_index.authors | 97 |
| abstract_inverted_index.caching | 111 |
| abstract_inverted_index.current | 118 |
| abstract_inverted_index.feature | 107, 110 |
| abstract_inverted_index.games). | 30 |
| abstract_inverted_index.graphic | 35 |
| abstract_inverted_index.improve | 116 |
| abstract_inverted_index.modules | 112 |
| abstract_inverted_index.propose | 98 |
| abstract_inverted_index.quality | 5 |
| abstract_inverted_index.result. | 51 |
| abstract_inverted_index.sector. | 92 |
| abstract_inverted_index.Siggraph | 70 |
| abstract_inverted_index.becoming | 19 |
| abstract_inverted_index.powerful | 80 |
| abstract_inverted_index.component | 22 |
| abstract_inverted_index.necessary | 21 |
| abstract_inverted_index.potential | 101 |
| abstract_inverted_index.published | 68 |
| abstract_inverted_index.real-time | 10, 25 |
| abstract_inverted_index.rendering | 11, 26, 42 |
| abstract_inverted_index.technique | 33 |
| abstract_inverted_index.algorithms | 104 |
| abstract_inverted_index.approaches | 77 |
| abstract_inverted_index.industrial | 91 |
| abstract_inverted_index.introduced | 53 |
| abstract_inverted_index.resolution | 8, 46 |
| abstract_inverted_index.algorithms. | 119 |
| abstract_inverted_index.application | 62 |
| abstract_inverted_index.enhancement | 108 |
| abstract_inverted_index.introducing | 106 |
| abstract_inverted_index.applications | 27, 36 |
| abstract_inverted_index.capabilities | 81 |
| abstract_inverted_index.optimization | 100 |
| abstract_inverted_index.computational | 39 |
| abstract_inverted_index.reconstructing | 48 |
| abstract_inverted_index.high-resolution | 50 |
| abstract_inverted_index.superresolution | 13, 32, 61, 103 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6600000262260437 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.03484072 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |