mlsanityData to 7 Oct 2026

Pose Guided Person Image Generation

arXiv 1705.09368 ↗First posted 25 May 2017cs.CVcited by 251

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Cited by 37 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper proposes the novel Pose Guided Person Generation Network (PG2) that allows to synthesize person images in arbitrary poses, based on an image of that person and a novel pose. Our generation framework PG2 utilizes the pose information explicitly and consists of two key stages: pose integration and image refinement. In the first stage the condition image and the target pose are fed into a U-Net-like network to generate an initial but coarse image of the person with the target pose. The second stage then refines the initial and blurry result by training a U-Net-like generator in an adversarial way. Extensive experimental results on both 128×64 re-identification images and 256×256 fashion photos show that our model generates high-quality person images with convincing details.

Key facts. Cited by 251 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 May 2017.

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Citing papers per year: 2021: 88; 2022: 56; 2023: 36; 2024: 36; 2025: 25; 2026: 10.

251 papers.

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  1. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  2. 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
  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. 2021Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Controlcited by 106
  8. 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
  9. 2023HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generationcited by 104
  10. 2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
  11. 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detectioncited by 88
  12. 2022gDNA: Towards Generative Detailed Neural Avatarscited by 72
38 more
  1. 2022Exploring Dual-task Correlation for Pose Guided Person Image Generationcited by 68
  2. 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenescited by 68
  3. 2021PISE: Person Image Synthesis and Editing with Decoupled GANcited by 62
  4. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
  5. 2021StylePeople: A Generative Model of Fullbody Human Avatarscited by 62
  6. 2022Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Productioncited by 61
  7. 2023AG3D: Learning to Generate 3D Avatars from 2D Image Collectionscited by 55
  8. 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
  9. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  10. 2023Putting People in Their Place: Affordance-Aware Human Insertion into Scenescited by 53
  11. 2021Multimodal Image Synthesis and Editing: The Generative AI Eracited by 52
  12. 2021Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objectscited by 50
  13. 2024Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesiscited by 48
  14. 2021HumanGAN: A Generative Model of Humans Imagescited by 47
  15. 2021DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesiscited by 45
  16. 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
  17. 2022InsetGAN for Full-Body Image Generationcited by 45
  18. 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
  19. 2021Learning Semantic Person Image Generation by Region-Adaptive Normalizationcited by 44
  20. 2023Single-Image 3D Human Digitization with Shape-Guided Diffusioncited by 42
  21. 2021Unbalanced Feature Transport for Exemplar-based Image Translationcited by 41
  22. 2022One-shot Implicit Animatable Avatars with Model-based Priorscited by 38
  23. 2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretrainingcited by 38
  24. 2021M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformerscited by 36
  25. 2025IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Designcited by 36
  26. 20213D Human Texture Estimation from a Single Image with Transformerscited by 35
  27. 2024DisPose: Disentangling Pose Guidance for Controllable Human Image Animationcited by 35
  28. 2021ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priorscited by 34
  29. 2022Structure-Aware Motion Transfer with Deformable Anchor Modelcited by 34
  30. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  31. 2021HVTR: Hybrid Volumetric-Textural Rendering for Human Avatarscited by 33
  32. 2022Animatable Implicit Neural Representations for Creating Realistic Avatars from Videoscited by 33
  33. 20213D-Aware Semantic-Guided Generative Model for Human Synthesiscited by 31
  34. 2022Text2Human: Text-Driven Controllable Human Image Generationcited by 31
  35. 2021A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networkscited by 30
  36. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  37. 2021Sign Language Production: A Reviewcited by 26
  38. 2023Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfercited by 25

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