MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes

Author:

Li Zhi1,Shimada Soshi1,Schiele Bernt2,Theobalt Christian2,Golyanik Vladislav2

Affiliation:

1. Saarland University, SIC

2. SIC,MPI for Informatics

Publisher

IEEE

Reference69 articles.

1. Geometric pose affordance: 3d human pose with scene constraintss;wang;ArXiv Preprint,2019

2. Statistical methods for tomographic image reconstruction;geman;46th Session of the International Statistical Institute (ISI),1987

3. ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses

4. DeepCap: Monocular Human Performance Capture Using Weak Supervision

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2. MarkerNet: A divide‐and‐conquer solution to motion capture solving from raw markers;Computer Animation and Virtual Worlds;2024-01

3. Decaf: Monocular Deformation Capture for Face and Hand Interactions;ACM Transactions on Graphics;2023-12-05

4. Reconstructing 3D Human Pose from RGB‐D Data with Occlusions;Computer Graphics Forum;2023-10

5. TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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