mlsanityData to 7 Oct 2026

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis

arXiv 2204.06160 ↗First posted 13 Apr 2022cs.CV cs.AIcited by 55

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Cited by 21 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We deal with the controllable person image synthesis task which aims to re-render a human from a reference image with explicit control over body pose and appearance. Observing that person images are highly structured, we propose to generate desired images by extracting and distributing semantic entities of reference images. To achieve this goal, a neural texture extraction and distribution operation based on double attention is described. This operation first extracts semantic neural textures from reference feature maps. Then, it distributes the extracted neural textures according to the spatial distributions learned from target poses. Our model is trained to predict human images in arbitrary poses, which encourages it to extract disentangled and expressive neural textures representing the appearance of different semantic entities. The disentangled representation further enables explicit appearance control. Neural textures of different reference images can be fused to control the appearance of the interested areas. Experimental comparisons show the superiority of the proposed model. Code is available at https://github.com/RenYurui/Neural-Texture-Extraction-Distribution.

Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). Builds on 32 of its 40 references that are in the map. First posted on arXiv 13 Apr 2022.

Builds on

32 of 40 references.

References · 32

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  4. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  5. 2016Improved Techniques for Training GANscited by 2,938
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  7. 2017Non-local Neural Networkscited by 2,290
  8. 2014Conditional Generative Adversarial Netscited by 2,152
  9. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  10. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,176
  11. 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
  12. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
20 more
  1. 2018Self-Attention Generative Adversarial Networkscited by 809
  2. 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
  3. 2018Efficient Attention: Attention with Linear Complexitiescited by 366
  4. 2019Few-shot Video-to-Video Synthesiscited by 196
  5. 2017Deformable GANs for Pose-based Human Image Generationcited by 166
  6. 2019Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesiscited by 161
  7. 2020Controllable Person Image Synthesis with Attribute-Decomposed GANcited by 150
  8. 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
  9. 2018A Variational U-Net for Conditional Appearance and Shape Generationcited by 124
  10. 2020Cross-domain Correspondence Learning for Exemplar-based Image Translationcited by 116
  11. 2019Dense Intrinsic Appearance Flow for Human Pose Transfercited by 104
  12. 2020Deep Image Spatial Transformation for Person Image Generationcited by 100
  13. 2017Disentangled Person Image Generationcited by 98
  14. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  15. 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
  16. 2019Multi-mapping Image-to-Image Translation via Learning Disentanglementcited by 35
  17. 2021TryOnGAN: Body-Aware Try-On via Layered Interpolationcited by 31
  18. 2014Do Convnets Learn Correspondence?cited by 28
  19. 2021Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlationcited by 11
  20. 2021Combining Attention with Flow for Person Image Synthesiscited by 9

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 8; 2023: 13; 2024: 23; 2025: 8; 2026: 3.

55 papers.

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  1. 2023TryOnDiffusion: A Tale of Two UNetscited by 141
  2. 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
  3. 2023HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generationcited by 104
  4. 2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
  5. 2024UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animationcited by 101
  6. 2024Animate-X: Universal Character Image Animation with Enhanced Motion Representationcited by 86
  7. 2024Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesiscited by 48
  8. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  9. 2023Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfercited by 25
  10. 2022DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generationcited by 24
  11. 2024WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Modelscited by 22
  12. 2024Boosting Camera Motion Control for Video Diffusion Transformerscited by 20
38 more
  1. 2024Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generationcited by 17
  2. 2024Fashion-VDM: Video Diffusion Model for Virtual Try-Oncited by 16
  3. 2023UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfercited by 12
  4. 2023UniHuman: A Unified Model for Editing Human Images in the Wildcited by 12
  5. 2024Cross-view Masked Diffusion Transformers for Person Image Synthesiscited by 12
  6. 2025DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Frameworkcited by 12
  7. 2022HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generationcited by 11
  8. 2022Human Image Generation: A Comprehensive Surveycited by 11
  9. 2024DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusioncited by 11
  10. 2023Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Fieldcited by 10
  11. 2025VTON 360: High-Fidelity Virtual Try-On from Any Viewing Directioncited by 10
  12. 2025Animate-X++: Universal Character Image Animation with Dynamic Backgroundscited by 10
  13. 2024BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusioncited by 9
  14. 2025One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfercited by 9
  15. 2024Pose-Guided Fine-Grained Sign Language Video Generationcited by 8
  16. 2023ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNetcited by 7
  17. 2022Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Texturescited by 6
  18. 2024DiffBody: Diffusion-based Pose and Shape Editing of Human Imagescited by 6
  19. 2025Multi-focal Conditioned Latent Diffusion for Person Image Synthesiscited by 6
  20. 2022VGFlow: Visibility guided Flow Network for Human Reposingcited by 5
  21. 2023Total Selfie: Generating Full-Body Selfiescited by 5
  22. 2024Diversifying Human Pose in Synthetic Data for Aerial-view Human Detectioncited by 5
  23. 2023Disentangled Representation Learning for Controllable Person Image Generationcited by 4
  24. 2022Pose Guided Human Image Synthesis with Partially Decoupled GANcited by 3
  25. 2023Open-World Pose Transfer via Sequential Test-Time Adaptioncited by 3
  26. 2024Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mappingcited by 3
  27. 2025Enhanced Multi-Scale Cross-Attention for Person Image Generationcited by 3
  28. 2023RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesiscited by 2
  29. 2024One-Shot Learning for Pose-Guided Person Image Synthesis in the Wildcited by 2
  30. 2024One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturingcited by 2
  31. 2026OrthoTryOn: Geometric Orthogonalization for Conflict-Free Unified Fashion Generationcited by 2
  32. 2022UMFuse: Unified Multi View Fusion for Human Editing applicationscited by 1
  33. 2024ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restorationcited by 1
  34. 2024Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Controlcited by 1
  35. 2024FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesiscited by 1
  36. 2026DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generationcited by 1
  37. 2023One-Shot Stylization for Full-Body Human Imagescited by 0
  38. 2024Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfercited by 0

50 most cited of 55 All 55 (JSON)