mlsanityData to 7 Oct 2026

DPoser: Diffusion Model as Robust 3D Human Pose Prior

arXiv 2312.05541 ↗First posted 9 Dec 2023cs.CVcited by 17

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

This work targets to construct a robust human pose prior. However, it remains a persistent challenge due to biomechanical constraints and diverse human movements. Traditional priors like VAEs and NDFs often exhibit shortcomings in realism and generalization, notably with unseen noisy poses. To address these issues, we introduce DPoser, a robust and versatile human pose prior built upon diffusion models. DPoser regards various pose-centric tasks as inverse problems and employs variational diffusion sampling for efficient solving. Accordingly, designed with optimization frameworks, DPoser seamlessly benefits human mesh recovery, pose generation, pose completion, and motion denoising tasks. Furthermore, due to the disparity between the articulated poses and structured images, we propose truncated timestep scheduling to enhance the effectiveness of DPoser. Our approach demonstrates considerable enhancements over common uniform scheduling used in image domains, boasting improvements of 5.4%, 17.2%, and 3.8% across human mesh recovery, pose completion, and motion denoising, respectively. Comprehensive experiments demonstrate the superiority of DPoser over existing state-of-the-art pose priors across multiple tasks.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 19 of its 62 references that are in the map. First posted on arXiv 9 Dec 2023.

Builds on

19 of 62 references.

Closest ancestors · 5

Same direction, newest first

  1. 2023HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation30 Jul
  2. 2023Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation29 Jun
  3. 2023HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance30 May
  4. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
  5. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 14

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2013Auto-Encoding Variational Bayescited by 3,980
  6. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,375
  7. 2023Human Motion Diffusion as a Generative Priorcited by 354
  8. 2023A Variational Perspective on Solving Inverse Problems with Diffusion Modelscited by 217
  9. 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restorationcited by 58
  10. 2021Non Gaussian Denoising Diffusion Modelscited by 43
  11. 2023Generative Proxemics: A Prior for 3D Social Interaction from Imagescited by 43
  12. 2023Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimationcited by 24
2 more
  1. 2023Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Modelscited by 17
  2. 2023DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Modelscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 8; 2026: 3.

17 papers.

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  1. 2024Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidancecited by 271
  2. 2025ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusioncited by 9
  3. 2025DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recoverycited by 6
  4. 2025Geometric Neural Distance Fields for Learning Human Motion Priorscited by 6
  5. 2024Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priorscited by 5
  6. 2025Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Modelscited by 5
  7. 2024PADS: Plug-and-Play 3D Human Pose Analysis via Diffusion Generative Modelingcited by 3
  8. 2024Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose Priorcited by 2
  9. 2024JADE: Joint-aware Latent Diffusion for 3D Human Generative Modelingcited by 2
  10. 2025PHD: Personalized 3D Human Body Fitting with Point Diffusioncited by 2
  11. 2024Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Modelscited by 1
  12. 2025MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstructioncited by 1
5 more
  1. 2026PDF-HR: Pose Distance Fields for Humanoid Robotscited by 1
  2. 2025LieHMR: Autoregressive Human Mesh Recovery with SO(3) Diffusioncited by 0
  3. 2025Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose Estimationcited by 0
  4. 2026SocialMirror: Reconstructing 3D Human Interaction Behaviors from Monocular Videos with Semantic and Geometric Guidancecited by 0
  5. 2026PFM-HR: Pose Flow Matching for Humanoid Robotscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
  2. 2022DiffPose: Toward More Reliable 3D Pose Estimation
  3. 2022DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
  4. 2024D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement
  5. 2023DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
  6. 2022A generic diffusion-based approach for 3D human pose prediction in the wild
  7. 2024Di2Pose: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
  8. 2026Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models