mlsanityData to 7 Oct 2026

DwNet: Dense warp-based network for pose-guided human video generation

arXiv 1910.09139 ↗First posted 21 Oct 2019cs.CV cs.LGcited by 114

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

Abstract (arXiv)

Generation of realistic high-resolution videos of human subjects is a challenging and important task in computer vision. In this paper, we focus on human motion transfer - generation of a video depicting a particular subject, observed in a single image, performing a series of motions exemplified by an auxiliary (driving) video. Our GAN-based architecture, DwNet, leverages dense intermediate pose-guided representation and refinement process to warp the required subject appearance, in the form of the texture, from a source image into a desired pose. Temporal consistency is maintained by further conditioning the decoding process within a GAN on the previously generated frame. In this way a video is generated in an iterative and recurrent fashion. We illustrate the efficacy of our approach by showing state-of-the-art quantitative and qualitative performance on two benchmark datasets: TaiChi and Fashion Modeling. The latter is collected by us and will be made publicly available to the community.

Key facts. Cited by 114 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Oct 2019.

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Citing papers per year: 2021: 14; 2022: 12; 2023: 17; 2024: 31; 2025: 29; 2026: 11.

114 papers.

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  1. 2023Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animationcited by 683
  2. 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
  3. 2023GART: Gaussian Articulated Template Modelscited by 121
  4. 2022EVA3D: Compositional 3D Human Generation from 2D Image Collectionscited by 111
  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. 2022Single Stage Virtual Try-on via Deformable Attention Flowscited by 64
  8. 2024HumanVid: Demystifying Training Data for Camera-controllable Human Image Animationcited by 63
  9. 2021StylePeople: A Generative Model of Fullbody Human Avatarscited by 62
  10. 2025Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordancecited by 60
  11. 2021Neural Re-Rendering of Humans from a Single Imagecited by 59
  12. 2022AvatarGen: A 3D Generative Model for Animatable Human Avatarscited by 59
38 more
  1. 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulationcited by 59
  2. 2023AG3D: Learning to Generate 3D Avatars from 2D Image Collectionscited by 55
  3. 2024I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Modelscited by 55
  4. 2023MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Capturescited by 54
  5. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  6. 2023Text2Performer: Text-Driven Human Video Generationcited by 53
  7. 2021HumanGAN: A Generative Model of Humans Imagescited by 47
  8. 2024Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Modelscited by 44
  9. 2022Structure-Aware Motion Transfer with Deformable Anchor Modelcited by 34
  10. 2022HumanGen: Generating Human Radiance Fields with Explicit Priorscited by 33
  11. 2024Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Modelcited by 30
  12. 2025RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wildcited by 28
  13. 2021Dynamic Neural Garmentscited by 27
  14. 2024VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animationcited by 27
  15. 2023Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfercited by 25
  16. 2024A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insightscited by 24
  17. 2024Beyond FVD: Enhanced Evaluation Metrics for Video Generation Qualitycited by 21
  18. 2023XAGen: 3D Expressive Human Avatars Generationcited by 17
  19. 2024StructLDM: Structured Latent Diffusion for 3D Human Generationcited by 17
  20. 2024From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generationcited by 17
  21. 2024iHuman: Instant Animatable Digital Humans From Monocular Videoscited by 17
  22. 2021Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesiscited by 16
  23. 2024Fashion-VDM: Video Diffusion Model for Virtual Try-Oncited by 16
  24. 2021Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistencycited by 15
  25. 2025Multi-identity Human Image Animation with Structural Video Diffusioncited by 13
  26. 2021Flow Guided Transformable Bottleneck Networks for Motion Retargetingcited by 12
  27. 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generationcited by 12
  28. 2022Human Image Generation: A Comprehensive Surveycited by 11
  29. 2023DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesiscited by 11
  30. 2024InstructGIE: Towards Generalizable Image Editingcited by 11
  31. 2024VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformerscited by 11
  32. 2024RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Imagescited by 10
  33. 2025Animate-X++: Universal Character Image Animation with Dynamic Backgroundscited by 10
  34. 2021Combining Attention with Flow for Person Image Synthesiscited by 9
  35. 2024Dormant: Defending against Pose-driven Human Image Animationcited by 9
  36. 2025MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitizationcited by 9
  37. 2025One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfercited by 9
  38. 2022Motion Transformer for Unsupervised Image Animationcited by 8

50 most cited of 114 All 114 (JSON)