{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/stylegan/papers/3","list_of":"/method/stylegan","method":"StyleGAN","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":3,"pages_in_order":3,"rows_per_page":100,"rows":[201,292],"of":292,"counts":{"archive_papers_tagged":292,"with_a_code_link":131,"where_syntology_ran_a_sample":39,"not_listed_spam_title":0,"listed":292,"listed_where_code_ran":39,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":32,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":32,"listed_every_run_a_failure_of_syntologys_instrument":7,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/stylegan","prev":"/method/stylegan/papers/2","next":null,"papers":[{"paper":"/paper/are-gan-based-morphs-threatening-face","slug":"are-gan-based-morphs-threatening-face","title":"Are GAN-based Morphs Threatening Face Recognition?","date":"2022-05-05","arxiv_id":"2205.02496","n_code_links":1,"syntology":null},{"paper":"/paper/fix-the-noise-disentangling-source-feature","slug":"fix-the-noise-disentangling-source-feature","title":"Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN","date":"2022-04-29","arxiv_id":"2204.14079","n_code_links":1,"syntology":null},{"paper":"/paper/grasping-the-arrow-of-time-from-the","slug":"grasping-the-arrow-of-time-from-the","title":"Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN","date":"2022-04-27","arxiv_id":"2204.12696","n_code_links":1,"syntology":null},{"paper":null,"slug":"expanding-the-latent-space-of-stylegan-for","title":"Expanding the Latent Space of StyleGAN for Real Face Editing","date":"2022-04-26","arxiv_id":"2204.12530","n_code_links":0,"syntology":null},{"paper":"/paper/stylegan-human-a-data-centric-odyssey-of","slug":"stylegan-human-a-data-centric-odyssey-of","title":"StyleGAN-Human: A Data-Centric Odyssey of Human Generation","date":"2022-04-25","arxiv_id":"2204.11823","n_code_links":4,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["stylegan-human/stylegan-human"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":null,"slug":"sound-guided-semantic-video-generation","title":"Sound-Guided Semantic Video Generation","date":"2022-04-20","arxiv_id":"2204.09273","n_code_links":0,"syntology":null},{"paper":"/paper/dual-domain-image-synthesis-using","slug":"dual-domain-image-synthesis-using","title":"Dual-Domain Image Synthesis using Segmentation-Guided GAN","date":"2022-04-19","arxiv_id":"2204.09015","n_code_links":1,"syntology":null},{"paper":"/paper/stylet2f-generating-human-faces-from-textual","slug":"stylet2f-generating-human-faces-from-textual","title":"StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2","date":"2022-04-17","arxiv_id":"2204.07924","n_code_links":1,"syntology":null},{"paper":"/paper/style-based-global-appearance-flow-for","slug":"style-based-global-appearance-flow-for","title":"Style-Based Global Appearance Flow for Virtual Try-On","date":"2022-04-03","arxiv_id":"2204.01046","n_code_links":3,"syntology":{"ran":14,"of":21,"n_ran_checked":11,"n_instrument":3,"unverified":7,"pointer_only":21,"phrase":"14 ran (of which 10 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 3 where Syntology's instrument failed) · 7 unverified","official":{"repos":["senhe/flow-style-vton"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"mystyle-a-personalized-generative-prior","title":"MyStyle: A Personalized Generative Prior","date":"2022-03-31","arxiv_id":"2203.17272","n_code_links":0,"syntology":null},{"paper":"/paper/transeditor-transformer-based-dual-space-gan","slug":"transeditor-transformer-based-dual-space-gan","title":"TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing","date":"2022-03-31","arxiv_id":"2203.17266","n_code_links":1,"syntology":{"ran":14,"of":15,"n_ran_checked":11,"n_instrument":3,"unverified":1,"pointer_only":2,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 2 honoured, 1 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["billyxyb/transeditor"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/encode-in-style-latent-based-video-encoding","slug":"encode-in-style-latent-based-video-encoding","title":"Expressive Talking Head Video Encoding in StyleGAN2 Latent-Space","date":"2022-03-28","arxiv_id":"2203.14512","n_code_links":2,"syntology":null},{"paper":"/paper/faceverse-a-fine-grained-and-detail","slug":"faceverse-a-fine-grained-and-detail","title":"FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset","date":"2022-03-26","arxiv_id":"2203.14057","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["lizhenwangt/faceverse"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/pastiche-master-exemplar-based-high","slug":"pastiche-master-exemplar-based-high","title":"Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer","date":"2022-03-24","arxiv_id":"2203.13248","n_code_links":1,"syntology":null},{"paper":null,"slug":"ctlgan-few-shot-artistic-portraits-generation","title":"CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning","date":"2022-03-16","arxiv_id":"2203.08612","n_code_links":0,"syntology":null},{"paper":"/paper/style-transformer-for-image-inversion-and","slug":"style-transformer-for-image-inversion-and","title":"Style Transformer for Image Inversion and Editing","date":"2022-03-15","arxiv_id":"2203.07932","n_code_links":1,"syntology":null},{"paper":"/paper/styleheat-one-shot-high-resolution-editable","slug":"styleheat-one-shot-high-resolution-editable","title":"StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN","date":"2022-03-08","arxiv_id":"2203.04036","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":4,"n_instrument":0,"unverified":4,"pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["FeiiYin/StyleHEAT"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"drawinginstyles-portrait-image-generation-and","title":"DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN","date":"2022-03-05","arxiv_id":"2203.02762","n_code_links":0,"syntology":null},{"paper":null,"slug":"state-of-the-art-in-the-architecture-methods","title":"State-of-the-Art in the Architecture, Methods and Applications of StyleGAN","date":"2022-02-28","arxiv_id":"2202.14020","n_code_links":0,"syntology":null},{"paper":null,"slug":"controlling-memorability-of-face-images","title":"Controlling Memorability of Face Images","date":"2022-02-24","arxiv_id":"2202.11896","n_code_links":0,"syntology":null},{"paper":"/paper/self-distilled-stylegan-towards-generation","slug":"self-distilled-stylegan-towards-generation","title":"Self-Distilled StyleGAN: Towards Generation from Internet Photos","date":"2022-02-24","arxiv_id":"2202.12211","n_code_links":2,"syntology":null},{"paper":"/paper/art-creation-with-multi-conditional-stylegans","slug":"art-creation-with-multi-conditional-stylegans","title":"Art Creation with Multi-Conditional StyleGANs","date":"2022-02-23","arxiv_id":"2202.11777","n_code_links":1,"syntology":null},{"paper":null,"slug":"one-shot-domain-adaptation-for-semantic-face","title":"One-shot domain adaptation for semantic face editing of real world images using StyleALAE","date":"2021-08-31","arxiv_id":"2108.13876","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-applicability-of-synthetic-data-for","title":"On the Applicability of Synthetic Data for Face Recognition","date":"2021-04-06","arxiv_id":"2104.02815","n_code_links":0,"syntology":null},{"paper":"/paper/styleclip-text-driven-manipulation-of","slug":"styleclip-text-driven-manipulation-of","title":"StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery","date":"2021-03-31","arxiv_id":"2103.17249","n_code_links":5,"syntology":{"ran":7,"of":11,"n_ran_checked":6,"n_instrument":1,"unverified":4,"pointer_only":1,"phrase":"7 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["orpatashnik/StyleCLIP"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/diagonal-attention-and-style-based-gan-for","slug":"diagonal-attention-and-style-based-gan-for","title":"Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation","date":"2021-03-30","arxiv_id":"2103.16146","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":null}},{"paper":null,"slug":"unsupervised-disentanglement-of-linear","title":"Unsupervised Disentanglement of Linear-Encoded Facial Semantics","date":"2021-03-30","arxiv_id":"2103.16605","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-semantic-image-synthesis-using","slug":"few-shot-semantic-image-synthesis-using","title":"Few-shot Semantic Image Synthesis Using StyleGAN Prior","date":"2021-03-27","arxiv_id":"2103.14877","n_code_links":1,"syntology":null},{"paper":"/paper/labels4free-unsupervised-segmentation-using","slug":"labels4free-unsupervised-segmentation-using","title":"Labels4Free: Unsupervised Segmentation using StyleGAN","date":"2021-03-27","arxiv_id":"2103.14968","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["RameenAbdal/Labels4Free"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"photoapp-photorealistic-appearance-editing-of","title":"PhotoApp: Photorealistic Appearance Editing of Head Portraits","date":"2021-03-13","arxiv_id":"2103.07658","n_code_links":0,"syntology":null},{"paper":"/paper/style-based-point-generator-with-adversarial","slug":"style-based-point-generator-with-adversarial","title":"Style-based Point Generator with Adversarial Rendering for Point Cloud Completion","date":"2021-03-03","arxiv_id":"2103.02535","n_code_links":1,"syntology":null},{"paper":"/paper/generative-adversarial-transformers","slug":"generative-adversarial-transformers","title":"Generative Adversarial Transformers","date":"2021-03-01","arxiv_id":"2103.01209","n_code_links":2,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dorarad/gansformer"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":null,"slug":"systematic-analysis-and-removal-of-circular","title":"Systematic Analysis and Removal of Circular Artifacts for StyleGAN","date":"2021-03-01","arxiv_id":"2103.01090","n_code_links":0,"syntology":null},{"paper":"/paper/swagan-a-style-based-wavelet-driven","slug":"swagan-a-style-based-wavelet-driven","title":"SWAGAN: A Style-based Wavelet-driven Generative Model","date":"2021-02-11","arxiv_id":"2102.06108","n_code_links":2,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/traumerai-dreaming-music-with-stylegan","slug":"traumerai-dreaming-music-with-stylegan","title":"TräumerAI: Dreaming Music with StyleGAN","date":"2021-02-09","arxiv_id":"2102.04680","n_code_links":1,"syntology":null},{"paper":"/paper/designing-an-encoder-for-stylegan-image","slug":"designing-an-encoder-for-stylegan-image","title":"Designing an Encoder for StyleGAN Image Manipulation","date":"2021-02-04","arxiv_id":"2102.02766","n_code_links":8,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["omertov/encoder4editing"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/only-a-matter-of-style-age-transformation","slug":"only-a-matter-of-style-age-transformation","title":"Only a Matter of Style: Age Transformation Using a Style-Based Regression Model","date":"2021-02-04","arxiv_id":"2102.02754","n_code_links":2,"syntology":null},{"paper":null,"slug":"using-stylegan-for-visual-interpretability-of","title":"Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images","date":"2021-01-19","arxiv_id":"2101.07563","n_code_links":0,"syntology":null},{"paper":"/paper/gan-inversion-a-survey","slug":"gan-inversion-a-survey","title":"GAN Inversion: A Survey","date":"2021-01-14","arxiv_id":"2101.05278","n_code_links":1,"syntology":null},{"paper":"/paper/towards-real-world-blind-face-restoration","slug":"towards-real-world-blind-face-restoration","title":"Towards Real-World Blind Face Restoration with Generative Facial Prior","date":"2021-01-11","arxiv_id":"2101.04061","n_code_links":1,"syntology":null},{"paper":"/paper/a-geometric-analysis-of-deep-generative-image","slug":"a-geometric-analysis-of-deep-generative-image","title":"A Geometric Analysis of Deep Generative Image Models and Its Applications","date":"2021-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"guidedstyle-attribute-knowledge-guided-style","title":"GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing","date":"2020-12-22","arxiv_id":"2012.11856","n_code_links":0,"syntology":null},{"paper":"/paper/improved-stylegan-embedding-where-are-the","slug":"improved-stylegan-embedding-where-are-the","title":"Improved StyleGAN Embedding: Where are the Good Latents?","date":"2020-12-13","arxiv_id":"2012.09036","n_code_links":3,"syntology":null},{"paper":"/paper/vulnerability-analysis-of-face-morphing","slug":"vulnerability-analysis-of-face-morphing","title":"Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks","date":"2020-12-09","arxiv_id":"2012.05344","n_code_links":1,"syntology":null},{"paper":"/paper/tedigan-text-guided-diverse-image-generation","slug":"tedigan-text-guided-diverse-image-generation","title":"TediGAN: Text-Guided Diverse Face Image Generation and Manipulation","date":"2020-12-06","arxiv_id":"2012.03308","n_code_links":5,"syntology":null},{"paper":null,"slug":"glean-generative-latent-bank-for-large-factor","title":"GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution","date":"2020-12-01","arxiv_id":"2012.00739","n_code_links":0,"syntology":null},{"paper":"/paper/histogan-controlling-colors-of-gan-generated","slug":"histogan-controlling-colors-of-gan-generated","title":"HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms","date":"2020-11-23","arxiv_id":"2011.11731","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mahmoudnafifi/HistoGAN"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/disentangling-latent-space-for-unsupervised","slug":"disentangling-latent-space-for-unsupervised","title":"Towards Disentangling Latent Space for Unsupervised Semantic Face Editing","date":"2020-11-05","arxiv_id":"2011.02638","n_code_links":1,"syntology":null},{"paper":"/paper/transforming-facial-weight-of-real-images-by","slug":"transforming-facial-weight-of-real-images-by","title":"Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN","date":"2020-11-05","arxiv_id":"2011.02606","n_code_links":1,"syntology":null},{"paper":"/paper/one-model-to-reconstruct-them-all-a-novel-way","slug":"one-model-to-reconstruct-them-all-a-novel-way","title":"One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN","date":"2020-10-21","arxiv_id":"2010.11113","n_code_links":1,"syntology":null},{"paper":"/paper/resolution-dependant-gan-interpolation-for","slug":"resolution-dependant-gan-interpolation-for","title":"Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains","date":"2020-10-11","arxiv_id":"2010.05334","n_code_links":3,"syntology":null},{"paper":null,"slug":"pie-portrait-image-embedding-for-semantic","title":"PIE: Portrait Image Embedding for Semantic Control","date":"2020-09-20","arxiv_id":"2009.09485","n_code_links":0,"syntology":null},{"paper":null,"slug":"mipgan-generating-robust-and-high","title":"MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN","date":"2020-09-03","arxiv_id":"2009.01729","n_code_links":0,"syntology":null},{"paper":"/paper/text-and-style-conditioned-gan-for-generation","slug":"text-and-style-conditioned-gan-for-generation","title":"Text and Style Conditioned GAN for Generation of Offline Handwriting Lines","date":"2020-09-01","arxiv_id":"2009.00678","n_code_links":1,"syntology":null},{"paper":"/paper/deeplandscape-adversarial-modeling-of","slug":"deeplandscape-adversarial-modeling-of","title":"DeepLandscape: Adversarial Modeling of Landscape Video","date":"2020-08-21","arxiv_id":"2008.09655","n_code_links":1,"syntology":null},{"paper":"/paper/styleflow-attribute-conditioned-exploration","slug":"styleflow-attribute-conditioned-exploration","title":"StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows","date":"2020-08-06","arxiv_id":"2008.02401","n_code_links":3,"syntology":{"ran":9,"of":14,"n_ran_checked":8,"n_instrument":1,"unverified":5,"pointer_only":2,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["rameenabdal/styleflow"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/encoding-in-style-a-stylegan-encoder-for","slug":"encoding-in-style-a-stylegan-encoder-for","title":"Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation","date":"2020-08-03","arxiv_id":"2008.00951","n_code_links":10,"syntology":{"ran":16,"of":16,"n_ran_checked":13,"n_instrument":3,"unverified":0,"pointer_only":1,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 1 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["eladrich/pixel2style2pixel"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"paper":"/paper/deeplandscape-adversarial-modeling-of-1","slug":"deeplandscape-adversarial-modeling-of-1","title":"DeepLandscape: Adversarial Modeling of Landscape Videos","date":"2020-08-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"detection-attribution-and-localization-of-gan","title":"Detection, Attribution and Localization of GAN Generated Images","date":"2020-07-20","arxiv_id":"2007.10466","n_code_links":0,"syntology":null},{"paper":"/paper/generative-hierarchical-features-from","slug":"generative-hierarchical-features-from","title":"Generative Hierarchical Features from Synthesizing Images","date":"2020-07-20","arxiv_id":"2007.10379","n_code_links":1,"syntology":null},{"paper":"/paper/a-free-viewpoint-portrait-generator-with","slug":"a-free-viewpoint-portrait-generator-with","title":"SofGAN: A Portrait Image Generator with Dynamic Styling","date":"2020-07-07","arxiv_id":"2007.03780","n_code_links":1,"syntology":null},{"paper":null,"slug":"can-gan-generated-morphs-threaten-face","title":"Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection","date":"2020-07-07","arxiv_id":"2007.03621","n_code_links":0,"syntology":null},{"paper":null,"slug":"collaborative-learning-for-faster-stylegan","title":"Collaborative Learning for Faster StyleGAN Embedding","date":"2020-07-03","arxiv_id":"2007.01758","n_code_links":0,"syntology":null},{"paper":"/paper/priorgan-real-data-prior-for-generative","slug":"priorgan-real-data-prior-for-generative","title":"PriorGAN: Real Data Prior for Generative Adversarial Nets","date":"2020-06-30","arxiv_id":"2006.16990","n_code_links":1,"syntology":null},{"paper":null,"slug":"generating-master-faces-for-use-in-performing","title":"Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems","date":"2020-06-15","arxiv_id":"2006.08376","n_code_links":0,"syntology":null},{"paper":null,"slug":"renyi-generative-adversarial-networks","title":"Least $k$th-Order and Rényi Generative Adversarial Networks","date":"2020-06-03","arxiv_id":"2006.02479","n_code_links":0,"syntology":null},{"paper":"/paper/disentangling-in-latent-space-by-harnessing-a","slug":"disentangling-in-latent-space-by-harnessing-a","title":"Face Identity Disentanglement via Latent Space Mapping","date":"2020-05-15","arxiv_id":"2005.07728","n_code_links":3,"syntology":null},{"paper":"/paper/editing-in-style-uncovering-the-local","slug":"editing-in-style-uncovering-the-local","title":"Editing in Style: Uncovering the Local Semantics of GANs","date":"2020-04-29","arxiv_id":"2004.14367","n_code_links":2,"syntology":null},{"paper":"/paper/adversarial-latent-autoencoders","slug":"adversarial-latent-autoencoders","title":"Adversarial Latent Autoencoders","date":"2020-04-09","arxiv_id":"2004.04467","n_code_links":12,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["podgorskiy/ALAE"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/feature-quantization-improves-gan-training","slug":"feature-quantization-improves-gan-training","title":"Feature Quantization Improves GAN Training","date":"2020-04-05","arxiv_id":"2004.02088","n_code_links":2,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["YangNaruto/FQ-GAN"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["found_in_text","official"]}}},{"paper":null,"slug":"stylerig-rigging-stylegan-for-3d-control-over","title":"StyleRig: Rigging StyleGAN for 3D Control over Portrait Images","date":"2020-03-31","arxiv_id":"2004.00121","n_code_links":0,"syntology":null},{"paper":null,"slug":"one-shot-domain-adaptation-for-face","title":"One-Shot Domain Adaptation For Face Generation","date":"2020-03-28","arxiv_id":"2003.12869","n_code_links":0,"syntology":null},{"paper":null,"slug":"re-training-stylegan-a-first-step-towards","title":"Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets","date":"2020-03-24","arxiv_id":"2003.10847","n_code_links":0,"syntology":null},{"paper":null,"slug":"domain-specific-image-super-resolution-with","title":"Perceptual Image Super-Resolution with Progressive Adversarial Network","date":"2020-03-08","arxiv_id":"2003.03756","n_code_links":0,"syntology":null},{"paper":null,"slug":"semi-supervised-stylegan-for-disentanglement","title":"Semi-Supervised StyleGAN for Disentanglement Learning","date":"2020-03-06","arxiv_id":"2003.03461","n_code_links":0,"syntology":null},{"paper":"/paper/freeze-discriminator-a-simple-baseline-for","slug":"freeze-discriminator-a-simple-baseline-for","title":"Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs","date":"2020-02-25","arxiv_id":"2002.10964","n_code_links":4,"syntology":null},{"paper":null,"slug":"generate-high-resolution-adversarial-samples","title":"HRFA: High-Resolution Feature-based Attack","date":"2020-01-21","arxiv_id":"2001.07631","n_code_links":0,"syntology":null},{"paper":null,"slug":"unsupervised-k-modal-styled-content","title":"Unsupervised multi-modal Styled Content Generation","date":"2020-01-10","arxiv_id":"2001.03640","n_code_links":0,"syntology":null},{"paper":"/paper/cnn-generated-images-are-surprisingly-easy-to","slug":"cnn-generated-images-are-surprisingly-easy-to","title":"CNN-generated images are surprisingly easy to spot... for now","date":"2019-12-23","arxiv_id":"1912.11035","n_code_links":5,"syntology":null},{"paper":"/paper/unconstrained-facial-expression-transfer","slug":"unconstrained-facial-expression-transfer","title":"Unconstrained Facial Expression Transfer using Style-based Generator","date":"2019-12-12","arxiv_id":"1912.06253","n_code_links":1,"syntology":null},{"paper":null,"slug":"achieving-robustness-in-the-wild-via","title":"Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations","date":"2019-12-06","arxiv_id":"1912.03192","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-gan-generated-errors","title":"Detecting GAN generated errors","date":"2019-12-02","arxiv_id":"1912.00527","n_code_links":0,"syntology":null},{"paper":"/paper/semantic-hierarchy-emerges-in-deep-generative","slug":"semantic-hierarchy-emerges-in-deep-generative","title":"Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis","date":"2019-11-21","arxiv_id":"1911.09267","n_code_links":2,"syntology":{"ran":4,"of":5,"n_ran_checked":2,"n_instrument":2,"unverified":1,"pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":null,"slug":"unsupervised-projection-networks-for","title":"Unsupervised Projection Networks for Generative Adversarial Networks","date":"2019-09-30","arxiv_id":"1910.00579","n_code_links":0,"syntology":null},{"paper":"/paper/rgbd-gan-unsupervised-3d-representation-1","slug":"rgbd-gan-unsupervised-3d-representation-1","title":"RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis","date":"2019-09-27","arxiv_id":"1909.12573","n_code_links":2,"syntology":{"ran":6,"of":6,"n_ran_checked":5,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/190909974","slug":"190909974","title":"LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks","date":"2019-09-22","arxiv_id":"1909.09974","n_code_links":1,"syntology":null},{"paper":null,"slug":"generating-high-resolution-fashion-model","title":"Generating High-Resolution Fashion Model Images Wearing Custom Outfits","date":"2019-08-23","arxiv_id":"1908.08847","n_code_links":0,"syntology":null},{"paper":"/paper/image-synthesis-from-reconfigurable-layout","slug":"image-synthesis-from-reconfigurable-layout","title":"Image Synthesis From Reconfigurable Layout and Style","date":"2019-08-20","arxiv_id":"1908.07500","n_code_links":4,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["iVMCL/LostGANs"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/emergence-of-object-segmentation-in-perturbed","slug":"emergence-of-object-segmentation-in-perturbed","title":"Emergence of Object Segmentation in Perturbed Generative Models","date":"2019-05-29","arxiv_id":"1905.12663","n_code_links":1,"syntology":null},{"paper":"/paper/improved-precision-and-recall-metric-for","slug":"improved-precision-and-recall-metric-for","title":"Improved Precision and Recall Metric for Assessing Generative Models","date":"2019-04-15","arxiv_id":"1904.06991","n_code_links":10,"syntology":{"ran":30,"of":42,"n_ran_checked":20,"n_instrument":10,"unverified":12,"pointer_only":25,"phrase":"30 ran (of which 12 constructed an object rather than computing a result; 20 with no instrument failure: 5 honoured, 1 violated, 14 with no contract checked; 10 where Syntology's instrument failed) · 12 unverified","official":{"repos":["kynkaat/improved-precision-and-recall-metric"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/image2stylegan-how-to-embed-images-into-the","slug":"image2stylegan-how-to-embed-images-into-the","title":"Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?","date":"2019-04-05","arxiv_id":"1904.03189","n_code_links":5,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/a-style-based-generator-architecture-for","slug":"a-style-based-generator-architecture-for","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","date":"2018-12-12","arxiv_id":"1812.04948","n_code_links":83,"syntology":{"ran":244,"of":396,"n_ran_checked":218,"n_instrument":26,"unverified":152,"pointer_only":229,"phrase":"244 ran (of which 147 constructed an object rather than computing a result; 218 with no instrument failure: 17 honoured, 3 violated, 198 with no contract checked; 26 where Syntology's instrument failed) · 152 unverified","official":{"repos":["NVlabs/ffhq-dataset","NVlabs/stylegan"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}}],"record_sha256":"49a88c1c9cb72bb548854bb63fc849de9ee40002bad83889df01a1d1d480c7b9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}