Effective Whole-body Pose Estimation with Two-stages Distillation
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Cited by 86 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an image. This task is challenging due to multi-scale body parts, fine-grained localization for low-resolution regions, and data scarcity. Meanwhile, applying a highly efficient and accurate pose estimator to widely human-centric understanding and generation tasks is urgent. In this work, we present a two-stage pose Distillation for Whole-body Pose estimators, named DWPose, to improve their effectiveness and efficiency. The first-stage distillation designs a weight-decay strategy while utilizing a teacher's intermediate feature and final logits with both visible and invisible keypoints to supervise the student from scratch. The second stage distills the student model itself to further improve performance. Different from the previous self-knowledge distillation, this stage finetunes the student's head with only 20% training time as a plug-and-play training strategy. For data limitations, we explore the UBody dataset that contains diverse facial expressions and hand gestures for real-life applications. Comprehensive experiments show the superiority of our proposed simple yet effective methods. We achieve new state-of-the-art performance on COCO-WholeBody, significantly boosting the whole-body AP of RTMPose-l from 64.8% to 66.5%, even surpassing RTMPose-x teacher with 65.3% AP. We release a series of models with different sizes, from tiny to large, for satisfying various downstream tasks. Our codes and models are available at https://github.com/IDEA-Research/DWPose.
Key facts. Cited by 307 papers in the map (data through 7 Oct 2026). Builds on 64 of its 71 references that are in the map. First posted on arXiv 29 Jul 2023.
Builds on
64 of 71 references.
References · 64
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- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,064
- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
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- 2022On Distillation of Guided Diffusion Modelscited by 721
- 2019MediaPipe: A Framework for Building Perception Pipelinescited by 572
- 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
- 2020GRAB: A Dataset of Whole-Body Human Grasping of Objectscited by 397
- 2022Decoupled Knowledge Distillationcited by 380
- 2022ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulationcited by 306
- 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
- 2019FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Imagescited by 271
- 2020InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Imagecited by 244
- 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 229
- 2023Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Datasetcited by 220
- 2016Associative Embedding: End-to-End Learning for Joint Detection and Groupingcited by 211
- 2022Knowledge Distillation from A Stronger Teachercited by 204
- 2023DepGraph: Towards Any Structural Pruningcited by 202
- 2022AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Timecited by 199
- 2022Generating Holistic 3D Human Motion from Speechcited by 180
- 2020Whole-Body Human Pose Estimation in the Wildcited by 178
- 2022BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesiscited by 177
- 2023RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosecited by 170
- 2020Channel-wise Knowledge Distillation for Dense Predictioncited by 161
- 2020MediaPipe Hands: On-device Real-time Hand Trackingcited by 157
- 2021Focal and Global Knowledge Distillation for Detectorscited by 138
- 2023One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformercited by 128
- 2021Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspectivecited by 116
- 2022Masked Generative Distillationcited by 107
- 2023HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generationcited by 104
- 2022Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformercited by 99
- 2023AvatarReX: Real-time Expressive Full-body Avatarscited by 83
- 2020Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimationcited by 81
- 2023TaleCrafter: Interactive Story Visualization with Multiple Characterscited by 71
- 2023From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labelscited by 69
- 2021SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimationcited by 68
- 2022BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detectioncited by 66
- 2018Facial Landmark Detection: a Literature Surveycited by 63
- 2021Online Knowledge Distillation for Efficient Pose Estimationcited by 55
- 2023Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimationcited by 48
- 2022Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillationcited by 41
- 2022DAMO-YOLO : A Report on Real-Time Object Detection Designcited by 38
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