World-Grounded Human Motion Recovery via Gravity-View Coordinates
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Abstract (arXiv)
We present a novel method for recovering world-grounded human motion from monocular video. The main challenge lies in the ambiguity of defining the world coordinate system, which varies between sequences. Previous approaches attempt to alleviate this issue by predicting relative motion in an autoregressive manner, but are prone to accumulating errors. Instead, we propose estimating human poses in a novel Gravity-View (GV) coordinate system, which is defined by the world gravity and the camera view direction. The proposed GV system is naturally gravity-aligned and uniquely defined for each video frame, largely reducing the ambiguity of learning image-pose mapping. The estimated poses can be transformed back to the world coordinate system using camera rotations, forming a global motion sequence. Additionally, the per-frame estimation avoids error accumulation in the autoregressive methods. Experiments on in-the-wild benchmarks demonstrate that our method recovers more realistic motion in both the camera space and world-grounded settings, outperforming state-of-the-art methods in both accuracy and speed. The code is available at https://zju3dv.github.io/gvhmr/.
Key facts. Cited by 137 papers in the map (data through 14 Oct 2026). Builds on 33 of its 50 references that are in the map. First posted on arXiv 10 Sep 2024.
Builds on
33 of 50 references.
References · 33
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- 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
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- 2021Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolationcited by 1,103
- 2022Human Motion Diffusion Modelcited by 1,080
- 2016Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Imagecited by 695
- 2021DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Camerascited by 687
- 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 627
- 2019VIBE: Video Inference for Human Body Pose and Shape Estimationcited by 620
- 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 350
- 2021PARE: Part Attention Regressor for 3D Human Body Estimationcited by 337
- 2021HuMoR: 3D Human Motion Model for Robust Pose Estimationcited by 324
21 more
- 2018Learning 3D Human Dynamics from Videocited by 316
- 2022CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimationcited by 238
- 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 236
- 2023WHAM: Reconstructing World-grounded Humans with Accurate 3D Motioncited by 206
- 2022Capturing and Inferring Dense Full-Body Human-Scene Contactcited by 180
- 2020Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Videocited by 163
- 2021GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Camerascited by 153
- 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 153
- 20203D Human Motion Estimation via Motion Compression and Refinementcited by 98
- 2023EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wildcited by 97
- 2023TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environmentscited by 91
- 2019Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representationcited by 87
- 2021Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimationcited by 62
- 2022Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Videocited by 60
- 2023Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimationcited by 47
- 2023ReFit: Recurrent Fitting Network for 3D Human Recoverycited by 47
- 2023NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimationcited by 45
- 2022D&D: Learning Human Dynamics from Dynamic Cameracited by 41
- 2020MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistencycited by 31
- 2024WHAC: World-grounded Humans and Camerascited by 30
- 2021TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensorscited by 25
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Citing papers per year: 2024: 4; 2025: 46; 2026: 87.
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- 2026Ego-Exo4D Human Meshes Dataset: 4D Human Motion Reconstruction for Ego-Exo Captures24 Sep 2026
- 2026BeyondRetarget: Learning Executable Humanoid Motions Directly from Monocular Video24 Sep 2026
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12 newest of 119 All 119 (JSON)