SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models Article Swipe
Abhay Rawat
,
Shubham Dokania
,
Astitva Srivastava
,
Shuaib Ahmed
,
Haiwen Feng
,
Rahul Tallamraju
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.07840
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.07840
Recent advancements in generative models have unlocked the capabilities to render photo-realistic data in a controllable fashion. Trained on the real data, these generative models are capable of producing realistic samples with minimal to no domain gap, as compared to the traditional graphics rendering. However, using the data generated using such models for training downstream tasks remains under-explored, mainly due to the lack of 3D consistent annotations. Moreover, controllable generative models are learned from massive data and their latent space is often too vast to obtain meaningful sample distributions for downstream task with limited generation. To overcome these challenges, we extract 3D consistent annotations from an existing controllable generative model, making the data useful for downstream tasks. Our experiments show competitive performance against state-of-the-art models using only generated synthetic data, demonstrating potential for solving downstream tasks. Project page: https://synth-forge.github.io
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2406.07840
- https://arxiv.org/pdf/2406.07840
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399657208
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399657208Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2406.07840Digital Object Identifier
- Title
-
SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative ModelsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-12Full publication date if available
- Authors
-
Abhay Rawat, Shubham Dokania, Astitva Srivastava, Shuaib Ahmed, Haiwen Feng, Rahul TallamrajuList of authors in order
- Landing page
-
https://arxiv.org/abs/2406.07840Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2406.07840Direct 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/2406.07840Direct OA link when available
- Concepts
-
Face (sociological concept), Quality (philosophy), Generative grammar, Computer science, Generative model, Artificial intelligence, Pattern recognition (psychology), Sociology, Philosophy, Epistemology, Social scienceTop 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/W4399657208 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2406.07840 |
| ids.doi | https://doi.org/10.48550/arxiv.2406.07840 |
| ids.openalex | https://openalex.org/W4399657208 |
| fwci | |
| type | preprint |
| title | SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11448 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991999864578247 |
| 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 | Face recognition and analysis |
| topics[1].id | https://openalex.org/T10828 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9629999995231628 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1711 |
| topics[1].subfield.display_name | Signal Processing |
| topics[1].display_name | Biometric Identification and Security |
| topics[2].id | https://openalex.org/T10775 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9595999717712402 |
| 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 | Generative Adversarial Networks and Image Synthesis |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2779304628 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7286998629570007 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3503480 |
| concepts[0].display_name | Face (sociological concept) |
| concepts[1].id | https://openalex.org/C2779530757 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6402104496955872 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[1].display_name | Quality (philosophy) |
| concepts[2].id | https://openalex.org/C39890363 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6368192434310913 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q36108 |
| concepts[2].display_name | Generative grammar |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5625353455543518 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C167966045 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5441291332244873 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5532625 |
| concepts[4].display_name | Generative model |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.46173369884490967 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C153180895 |
| concepts[6].level | 2 |
| concepts[6].score | 0.3207801580429077 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[6].display_name | Pattern recognition (psychology) |
| concepts[7].id | https://openalex.org/C144024400 |
| concepts[7].level | 0 |
| concepts[7].score | 0.05018210411071777 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[7].display_name | Sociology |
| concepts[8].id | https://openalex.org/C138885662 |
| concepts[8].level | 0 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[8].display_name | Philosophy |
| concepts[9].id | https://openalex.org/C111472728 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[9].display_name | Epistemology |
| concepts[10].id | https://openalex.org/C36289849 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q34749 |
| concepts[10].display_name | Social science |
| keywords[0].id | https://openalex.org/keywords/face |
| keywords[0].score | 0.7286998629570007 |
| keywords[0].display_name | Face (sociological concept) |
| keywords[1].id | https://openalex.org/keywords/quality |
| keywords[1].score | 0.6402104496955872 |
| keywords[1].display_name | Quality (philosophy) |
| keywords[2].id | https://openalex.org/keywords/generative-grammar |
| keywords[2].score | 0.6368192434310913 |
| keywords[2].display_name | Generative grammar |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5625353455543518 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/generative-model |
| keywords[4].score | 0.5441291332244873 |
| keywords[4].display_name | Generative model |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.46173369884490967 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/pattern-recognition |
| keywords[6].score | 0.3207801580429077 |
| keywords[6].display_name | Pattern recognition (psychology) |
| keywords[7].id | https://openalex.org/keywords/sociology |
| keywords[7].score | 0.05018210411071777 |
| keywords[7].display_name | Sociology |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2406.07840 |
| 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/2406.07840 |
| 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/2406.07840 |
| locations[1].id | doi:10.48550/arxiv.2406.07840 |
| 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 | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| 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.2406.07840 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5071234606 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Abhay Rawat |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rawat, Abhay |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5052906612 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Shubham Dokania |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dokania, Shubham |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5016315758 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6600-722X |
| authorships[2].author.display_name | Astitva Srivastava |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Srivastava, Astitva |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5113855560 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Shuaib Ahmed |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Ahmed, Shuaib |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5110956170 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Haiwen Feng |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Feng, Haiwen |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5080925530 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8087-2225 |
| authorships[5].author.display_name | Rahul Tallamraju |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Tallamraju, Rahul |
| authorships[5].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/2406.07840 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11448 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991999864578247 |
| 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 | Face recognition and analysis |
| related_works | https://openalex.org/W4365211920, https://openalex.org/W3014948380, https://openalex.org/W4210468674, https://openalex.org/W4380551139, https://openalex.org/W4317695495, https://openalex.org/W4287117424, https://openalex.org/W4387506531, https://openalex.org/W4238433571, https://openalex.org/W3174044702, https://openalex.org/W2967848559 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2406.07840 |
| 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/2406.07840 |
| 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/2406.07840 |
| primary_location.id | pmh:oai:arXiv.org:2406.07840 |
| 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/2406.07840 |
| 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/2406.07840 |
| publication_date | 2024-06-12 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 14 |
| abstract_inverted_index.3D | 64, 101 |
| abstract_inverted_index.To | 95 |
| abstract_inverted_index.an | 105 |
| abstract_inverted_index.as | 37 |
| abstract_inverted_index.in | 2, 13 |
| abstract_inverted_index.is | 80 |
| abstract_inverted_index.no | 34 |
| abstract_inverted_index.of | 27, 63 |
| abstract_inverted_index.on | 18 |
| abstract_inverted_index.to | 9, 33, 39, 60, 84 |
| abstract_inverted_index.we | 99 |
| abstract_inverted_index.Our | 117 |
| abstract_inverted_index.and | 76 |
| abstract_inverted_index.are | 25, 71 |
| abstract_inverted_index.due | 59 |
| abstract_inverted_index.for | 52, 89, 114, 132 |
| abstract_inverted_index.the | 7, 19, 40, 46, 61, 111 |
| abstract_inverted_index.too | 82 |
| abstract_inverted_index.data | 12, 47, 75, 112 |
| abstract_inverted_index.from | 73, 104 |
| abstract_inverted_index.gap, | 36 |
| abstract_inverted_index.have | 5 |
| abstract_inverted_index.lack | 62 |
| abstract_inverted_index.only | 126 |
| abstract_inverted_index.real | 20 |
| abstract_inverted_index.show | 119 |
| abstract_inverted_index.such | 50 |
| abstract_inverted_index.task | 91 |
| abstract_inverted_index.vast | 83 |
| abstract_inverted_index.with | 31, 92 |
| abstract_inverted_index.data, | 21, 129 |
| abstract_inverted_index.often | 81 |
| abstract_inverted_index.page: | 137 |
| abstract_inverted_index.space | 79 |
| abstract_inverted_index.tasks | 55 |
| abstract_inverted_index.their | 77 |
| abstract_inverted_index.these | 22, 97 |
| abstract_inverted_index.using | 45, 49, 125 |
| abstract_inverted_index.Recent | 0 |
| abstract_inverted_index.domain | 35 |
| abstract_inverted_index.latent | 78 |
| abstract_inverted_index.mainly | 58 |
| abstract_inverted_index.making | 110 |
| abstract_inverted_index.model, | 109 |
| abstract_inverted_index.models | 4, 24, 51, 70, 124 |
| abstract_inverted_index.obtain | 85 |
| abstract_inverted_index.render | 10 |
| abstract_inverted_index.sample | 87 |
| abstract_inverted_index.tasks. | 116, 135 |
| abstract_inverted_index.useful | 113 |
| abstract_inverted_index.Project | 136 |
| abstract_inverted_index.Trained | 17 |
| abstract_inverted_index.against | 122 |
| abstract_inverted_index.capable | 26 |
| abstract_inverted_index.extract | 100 |
| abstract_inverted_index.learned | 72 |
| abstract_inverted_index.limited | 93 |
| abstract_inverted_index.massive | 74 |
| abstract_inverted_index.minimal | 32 |
| abstract_inverted_index.remains | 56 |
| abstract_inverted_index.samples | 30 |
| abstract_inverted_index.solving | 133 |
| abstract_inverted_index.However, | 44 |
| abstract_inverted_index.compared | 38 |
| abstract_inverted_index.existing | 106 |
| abstract_inverted_index.fashion. | 16 |
| abstract_inverted_index.graphics | 42 |
| abstract_inverted_index.overcome | 96 |
| abstract_inverted_index.training | 53 |
| abstract_inverted_index.unlocked | 6 |
| abstract_inverted_index.Moreover, | 67 |
| abstract_inverted_index.generated | 48, 127 |
| abstract_inverted_index.potential | 131 |
| abstract_inverted_index.producing | 28 |
| abstract_inverted_index.realistic | 29 |
| abstract_inverted_index.synthetic | 128 |
| abstract_inverted_index.consistent | 65, 102 |
| abstract_inverted_index.downstream | 54, 90, 115, 134 |
| abstract_inverted_index.generative | 3, 23, 69, 108 |
| abstract_inverted_index.meaningful | 86 |
| abstract_inverted_index.rendering. | 43 |
| abstract_inverted_index.annotations | 103 |
| abstract_inverted_index.challenges, | 98 |
| abstract_inverted_index.competitive | 120 |
| abstract_inverted_index.experiments | 118 |
| abstract_inverted_index.generation. | 94 |
| abstract_inverted_index.performance | 121 |
| abstract_inverted_index.traditional | 41 |
| abstract_inverted_index.advancements | 1 |
| abstract_inverted_index.annotations. | 66 |
| abstract_inverted_index.capabilities | 8 |
| abstract_inverted_index.controllable | 15, 68, 107 |
| abstract_inverted_index.demonstrating | 130 |
| abstract_inverted_index.distributions | 88 |
| abstract_inverted_index.photo-realistic | 11 |
| abstract_inverted_index.under-explored, | 57 |
| abstract_inverted_index.state-of-the-art | 123 |
| abstract_inverted_index.https://synth-forge.github.io | 138 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |