mlsanityData to 7 Oct 2026

HumanGAN: A Generative Model of Humans Images

arXiv 2103.06902 ↗First posted 11 Mar 2021cs.CVcited by 47

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Abstract (arXiv)

Generative adversarial networks achieve great performance in photorealistic image synthesis in various domains, including human images. However, they usually employ latent vectors that encode the sampled outputs globally. This does not allow convenient control of semantically-relevant individual parts of the image, and is not able to draw samples that only differ in partial aspects, such as clothing style. We address these limitations and present a generative model for images of dressed humans offering control over pose, local body part appearance and garment style. This is the first method to solve various aspects of human image generation such as global appearance sampling, pose transfer, parts and garment transfer, and parts sampling jointly in a unified framework. As our model encodes part-based latent appearance vectors in a normalized pose-independent space and warps them to different poses, it preserves body and clothing appearance under varying posture. Experiments show that our flexible and general generative method outperforms task-specific baselines for pose-conditioned image generation, pose transfer and part sampling in terms of realism and output resolution.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Builds on 44 of its 56 references that are in the map. First posted on arXiv 11 Mar 2021.

Builds on

44 of 56 references.

References · 44

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
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32 more
  1. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  2. 2018Self-Attention Generative Adversarial Networkscited by 809
  3. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 733
  4. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  5. 2017Unsupervised Image-to-Image Translation Networkscited by 602
  6. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 573
  7. 2016Conditional Image Synthesis With Auxiliary Classifier GANscited by 562
  8. 2015Autoencoding beyond pixels using a learned similarity metriccited by 407
  9. 2018Video-to-Video Synthesiscited by 388
  10. 2017Learning from Synthetic Humanscited by 358
  11. 2018Everybody Dance Nowcited by 313
  12. 2017Toward Multimodal Image-to-Image Translationcited by 295
  13. 2020StyleRig: Rigging StyleGAN for 3D Control over Portrait Imagescited by 267
  14. 2018cGANs with Projection Discriminatorcited by 253
  15. 2017Pose Guided Person Image Generationcited by 251
  16. 2017Deformable GANs for Pose-based Human Image Generationcited by 166
  17. 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
  18. 2018A Variational U-Net for Conditional Appearance and Shape Generationcited by 124
  19. 2019DwNet: Dense warp-based network for pose-guided human video generationcited by 114
  20. 2017Disentangled Person Image Generationcited by 98
  21. 2018Recycle-GAN: Unsupervised Video Retargetingcited by 89
  22. 2018Dense Pose Transfercited by 83
  23. 2016Generative Multi-Adversarial Networkscited by 60
  24. 2021Neural Re-Rendering of Humans from a Single Imagecited by 59
  25. 2018Unsupervised Person Image Synthesis in Arbitrary Posescited by 55
  26. 2020Pose-Guided Human Animation from a Single Image in the Wildcited by 53
  27. 2017A Generative Model of People in Clothingcited by 37
  28. 2018Deep Video-Based Performance Cloningcited by 32
  29. 2019Appearance and Pose-Conditioned Human Image Generation using Deformable GANscited by 24
  30. 2018Dropout-GAN: Learning from a Dynamic Ensemble of Discriminatorscited by 15
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 14; 2023: 12; 2024: 8; 2025: 6; 2026: 1.

47 papers.

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  1. 2024Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidancecited by 271
  2. 2023GauHuman: Articulated Gaussian Splatting from Monocular Human Videoscited by 168
  3. 2022StyleGAN-Human: A Data-Centric Odyssey of Human Generationcited by 143
  4. 2022EVA3D: Compositional 3D Human Generation from 2D Image Collectionscited by 111
  5. 2021Animatable Neural Radiance Fields from Monocular RGB Videoscited by 109
  6. 2021Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Controlcited by 106
  7. 2022gDNA: Towards Generative Detailed Neural Avatarscited by 72
  8. 2023Text2Performer: Text-Driven Human Video Generationcited by 53
  9. 2021Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GANcited by 40
  10. 2024Large Language Models for Medicine: A Surveycited by 38
  11. 2022HumanGen: Generating Human Radiance Fields with Explicit Priorscited by 33
  12. 2023Towards Garment Sewing Pattern Reconstruction from a Single Imagecited by 33
35 more
  1. 2023PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generationcited by 33
  2. 20213D-Aware Semantic-Guided Generative Model for Human Synthesiscited by 31
  3. 2022Underwater Light Field Retention : Neural Rendering for Underwater Imagingcited by 22
  4. 2022Dressing in the Wild by Watching Dance Videoscited by 20
  5. 2023Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priorscited by 19
  6. 20223DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mappingcited by 17
  7. 2024StructLDM: Structured Latent Diffusion for 3D Human Generationcited by 17
  8. 2021AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisationcited by 16
  9. 2022PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-oncited by 15
  10. 2022HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generationcited by 11
  11. 2022Relightable Neural Human Assets from Multi-view Gradient Illuminationscited by 11
  12. 2022Human Image Generation: A Comprehensive Surveycited by 11
  13. 2023A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidancecited by 10
  14. 2022GAN2X: Non-Lambertian Inverse Rendering of Image GANscited by 8
  15. 2023Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networkscited by 8
  16. 2023VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesiscited by 8
  17. 2023SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshescited by 7
  18. 2024Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Imagescited by 7
  19. 2025HumanGif: Single-View Human Diffusion with Generative Priorcited by 7
  20. 20223D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspectivecited by 5
  21. 2022DeepPortraitDrawing: Generating Human Body Images from Freehand Sketchescited by 5
  22. 2025AnimateAnywhere: Rouse the Background in Human Image Animationcited by 5
  23. 2021Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalizationcited by 4
  24. 2023Synthesizing Environment-Specific People in Photographscited by 4
  25. 2025Deep Generative Models: Complexity, Dimensionality, and Approximationcited by 4
  26. 2023Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesiscited by 3
  27. 2023Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animationcited by 2
  28. 2024One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturingcited by 2
  29. 2024Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Controlcited by 1
  30. 2024Pattern Guided UV Recovery for Realistic Video Garment Texturingcited by 1
  31. 2024Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysiscited by 0
  32. 2025ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal Conditionscited by 0
  33. 2025Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stagecited by 0
  34. 2025DANCER: Dance ANimation via Condition Enhancement and Rendering with diffusion modelcited by 0
  35. 2026ReImagine: Rethinking Controllable High-Quality Human Video Generation via Image-First Synthesiscited by 0