mlsanityData to 7 Oct 2026

DensePose: Dense Human Pose Estimation In The Wild

arXiv 1802.00434 ↗First posted 1 Feb 2018cs.CVcited by 573

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Cited by 73 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation. We first gather dense correspondences for 50K persons appearing in the COCO dataset by introducing an efficient annotation pipeline. We then use our dataset to train CNN-based systems that deliver dense correspondence 'in the wild', namely in the presence of background, occlusions and scale variations. We improve our training set's effectiveness by training an 'inpainting' network that can fill in missing groundtruth values and report clear improvements with respect to the best results that would be achievable in the past. We experiment with fully-convolutional networks and region-based models and observe a superiority of the latter; we further improve accuracy through cascading, obtaining a system that delivers highly0accurate results in real time. Supplementary materials and videos are provided on the project page http://densepose.org

Key facts. Cited by 573 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 125; 2022: 103; 2023: 93; 2024: 114; 2025: 92; 2026: 46.

573 papers.

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  1. 2023MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Modelcited by 330
  2. 2021HuMoR: 3D Human Motion Model for Robust Pose Estimationcited by 319
  3. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  4. 2023TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinementcited by 281
  5. 2024Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidancecited by 271
  6. 2021Mesh Graphormercited by 264
  7. 2022TAP-Vid: A Benchmark for Tracking Any Point in a Videocited by 258
  8. 2021PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loopcited by 250
  9. 2022NeuMan: Neural Human Radiance Field from a Single Videocited by 244
  10. 2021DetCo: Unsupervised Contrastive Learning for Object Detectioncited by 205
  11. 2022MotionBERT: A Unified Perspective on Learning Human Motion Representationscited by 188
  12. 2021COTR: Correspondence Transformer for Matching Across Imagescited by 182
38 more
  1. 2023StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-Oncited by 173
  2. 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
  3. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
  4. 2021SMPLicit: Topology-aware Generative Model for Clothed Peoplecited by 154
  5. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
  6. 2022SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Videocited by 144
  7. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
  8. 2023DisCo: Disentangled Control for Realistic Human Dance Generationcited by 141
  9. 2021Real-time Deep Dynamic Characterscited by 133
  10. 2022High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditionscited by 129
  11. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flowcited by 123
  12. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
  13. 2024Improving Diffusion Models for Authentic Virtual Try-on in the Wildcited by 109
  14. 2024Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wildcited by 109
  15. 2022Recovering 3D Human Mesh from Monocular Images: A Surveycited by 103
  16. 2021Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimationcited by 101
  17. 20233D Human Pose Estimation via Intuitive Physicscited by 100
  18. 2024IMAGDressing-v1: Customizable Virtual Dressingcited by 100
  19. 2024CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelscited by 99
  20. 2021Region Similarity Representation Learningcited by 96
  21. 2025Controllable Video Generation: A Surveycited by 93
  22. 2024DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editingcited by 92
  23. 2023HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splattingcited by 89
  24. 2024Expressive Whole-Body 3D Gaussian Avatarcited by 89
  25. 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
  26. 2023HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generationcited by 88
  27. 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensingcited by 77
  28. 2022Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generationcited by 75
  29. 2022QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatarscited by 74
  30. 2023SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusioncited by 72
  31. 2021Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Cameracited by 70
  32. 20223D face reconstruction with dense landmarkscited by 70
  33. 2023High-fidelity 3D Human Digitization from Single 2K Resolution Imagescited by 70
  34. 2024EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animationcited by 69
  35. 2021Including Signed Languages in Natural Language Processingcited by 67
  36. 2022Crafting Better Contrastive Views for Siamese Representation Learningcited by 67
  37. 2022Denoised MDPs: Learning World Models Better Than the World Itselfcited by 66
  38. 2022Single Stage Virtual Try-on via Deformable Attention Flowscited by 64

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