mlsanityData to 7 Oct 2026

Progressive Pose Attention Transfer for Person Image Generation

arXiv 1904.03349 ↗First posted 6 Apr 2019cs.CVcited by 138

Not on the map. Why?

Cited by 22 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. The generator of the network comprises a sequence of Pose-Attentional Transfer Blocks that each transfers certain regions it attends to, generating the person image progressively. Compared with those in previous works, our generated person images possess better appearance consistency and shape consistency with the input images, thus significantly more realistic-looking. The efficacy and efficiency of the proposed network are validated both qualitatively and quantitatively on Market-1501 and DeepFashion. Furthermore, the proposed architecture can generate training images for person re-identification, alleviating data insufficiency. Codes and models are available at: https://github.com/tengteng95/Pose-Transfer.git.

Key facts. Cited by 138 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 49; 2022: 36; 2023: 20; 2024: 13; 2025: 12; 2026: 8.

138 papers.

Sort:

By area:

  1. 2022Thin-Plate Spline Motion Model for Image Animationcited by 209
  2. 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
  3. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flowcited by 123
  4. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  5. 2021Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Controlcited by 106
  6. 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
  7. 2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
  8. 2022Exploring Dual-task Correlation for Pose Guided Person Image Generationcited by 68
  9. 2021PISE: Person Image Synthesis and Editing with Decoupled GANcited by 62
  10. 2022Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Productioncited by 61
  11. 2022Neural Texture Extraction and Distribution for Controllable Person Image Synthesiscited by 55
  12. 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
38 more
  1. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  2. 2021Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objectscited by 50
  3. 2024Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesiscited by 48
  4. 2021HumanGAN: A Generative Model of Humans Imagescited by 47
  5. 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
  6. 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
  7. 2021Learning Semantic Person Image Generation by Region-Adaptive Normalizationcited by 44
  8. 2023Single-Image 3D Human Digitization with Shape-Guided Diffusioncited by 42
  9. 2022Structure-Aware Motion Transfer with Deformable Anchor Modelcited by 34
  10. 2021HVTR: Hybrid Volumetric-Textural Rendering for Human Avatarscited by 33
  11. 20213D-Aware Semantic-Guided Generative Model for Human Synthesiscited by 31
  12. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  13. 2023Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfercited by 25
  14. 2023SignDiff: Diffusion Model for American Sign Language Productioncited by 25
  15. 2022DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generationcited by 24
  16. 2024MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinementcited by 24
  17. 2021Deep learning-based person re-identification methods: A survey and outlook of recent workscited by 23
  18. 2023HumanLiff: Layer-wise 3D Human Generation with Diffusion Modelcited by 23
  19. 2021Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modelingcited by 21
  20. 2021Cascaded Cross MLP-Mixer GANs for Cross-View Image Translationcited by 21
  21. 2022Hand-Object Interaction Image Generationcited by 19
  22. 2021CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changescited by 17
  23. 2021PSGAN++: Robust Detail-Preserving Makeup Transfer and Removalcited by 17
  24. 2021HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challengecited by 17
  25. 20223DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mappingcited by 17
  26. 2021AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisationcited by 16
  27. 2021Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesiscited by 16
  28. 2021Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistencycited by 15
  29. 2021The Image Local Autoregressive Transformercited by 14
  30. 2021Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesiscited by 14
  31. 2021EgoRenderer: Rendering Human Avatars from Egocentric Camera Imagescited by 13
  32. 2024Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generationcited by 13
  33. 2025Training-free Geometric Image Editing on Diffusion Modelscited by 13
  34. 2021Flow Guided Transformable Bottleneck Networks for Motion Retargetingcited by 12
  35. 2022KPE: Keypoint Pose Encoding for Transformer-based Image Generationcited by 12
  36. 2022Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Cameracited by 12
  37. 2022HDHumans: A Hybrid Approach for High-fidelity Digital Humanscited by 12
  38. 2023UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfercited by 12

50 most cited of 138 All 138 (JSON)