mlsanityData to 7 Oct 2026

Deformable GANs for Pose-based Human Image Generation

arXiv 1801.00055 ↗First posted 29 Dec 2017cs.CVcited by 166

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Cited by 26 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose. In order to deal with pixel-to-pixel misalignments caused by the pose differences, we introduce deformable skip connections in the generator of our Generative Adversarial Network. Moreover, a nearest-neighbour loss is proposed instead of the common L1 and L2 losses in order to match the details of the generated image with the target image. We test our approach using photos of persons in different poses and we compare our method with previous work in this area showing state-of-the-art results in two benchmarks. Our method can be applied to the wider field of deformable object generation, provided that the pose of the articulated object can be extracted using a keypoint detector.

Key facts. Cited by 166 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Dec 2017.

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Citing papers per year: 2021: 61; 2022: 38; 2023: 20; 2024: 22; 2025: 17; 2026: 8.

166 papers.

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  1. 2021Motion Representations for Articulated Animationcited by 253
  2. 2022Thin-Plate Spline Motion Model for Image Animationcited by 209
  3. 2021Neural Articulated Radiance Fieldcited by 196
  4. 2022StyleGAN-Human: A Data-Centric Odyssey of Human Generationcited by 143
  5. 2021Real-time Deep Dynamic Characterscited by 133
  6. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  7. 2023MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusioncited by 115
  8. 2021Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Controlcited by 106
  9. 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
  10. 2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
  11. 2022Exploring Dual-task Correlation for Pose Guided Person Image Generationcited by 68
  12. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
38 more
  1. 2021StylePeople: A Generative Model of Fullbody Human Avatarscited by 62
  2. 2022Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Productioncited by 61
  3. 2024Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformercited by 61
  4. 2021Neural Re-Rendering of Humans from a Single Imagecited by 59
  5. 2022Neural Texture Extraction and Distribution for Controllable Person Image Synthesiscited by 55
  6. 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
  7. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  8. 2023Putting People in Their Place: Affordance-Aware Human Insertion into Scenescited by 53
  9. 2024Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesiscited by 48
  10. 2021HumanGAN: A Generative Model of Humans Imagescited by 47
  11. 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
  12. 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
  13. 2021Learning Semantic Person Image Generation by Region-Adaptive Normalizationcited by 44
  14. 2023Single-Image 3D Human Digitization with Shape-Guided Diffusioncited by 42
  15. 2025IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Designcited by 36
  16. 2021ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priorscited by 34
  17. 2022Structure-Aware Motion Transfer with Deformable Anchor Modelcited by 34
  18. 2021HVTR: Hybrid Volumetric-Textural Rendering for Human Avatarscited by 33
  19. 2025IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layoutcited by 28
  20. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  21. 2021Sign Language Production: A Reviewcited by 26
  22. 2023SignDiff: Diffusion Model for American Sign Language Productioncited by 25
  23. 2024MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinementcited by 24
  24. 2021MV-TON: Memory-based Video Virtual Try-on networkcited by 23
  25. 20233D Cinemagraphy from a Single Imagecited by 23
  26. 2023HumanLiff: Layer-wise 3D Human Generation with Diffusion Modelcited by 23
  27. 2025GUAVA: Generalizable Upper Body 3D Gaussian Avatarcited by 22
  28. 2021Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modelingcited by 21
  29. 2022Custom Structure Preservation in Face Agingcited by 19
  30. 2022Hand-Object Interaction Image Generationcited by 19
  31. 2022Audio-driven Neural Gesture Reenactment with Video Motion Graphscited by 18
  32. 2021CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changescited by 17
  33. 2021HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challengecited by 17
  34. 2022AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypointscited by 17
  35. 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralizationcited by 17
  36. 2021Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesiscited by 16
  37. 2021Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistencycited by 15
  38. 2021Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesiscited by 14

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