BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion

2 code implementations • CVPR 2023 • Michael J. Black, Priyanka Patel, Joachim Tesch, Jinlong Yang

BEDLAM is useful for a variety of tasks and all images, ground truth bodies, 3D clothing, support code, and more are available for research purposes.

Synthetic Data Generation

AGORA: Avatars in Geography Optimized for Regression Analysis

1 code implementation • CVPR 2021 • Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch, David T. Hoffmann, Shashank Tripathi, Michael J. Black

Additionally, we fine-tune methods on AGORA and show improved performance on both AGORA and 3DPW, confirming the realism of the dataset.

2D Human Pose Estimation 3D Human Reconstruction +4

ChatPose: Chatting about 3D Human Pose

no code implementations • 30 Nov 2023 • Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Michael J. Black

Additionally, ChatPose empowers LLMs to apply their extensive world knowledge in reasoning about human poses, leading to two advanced tasks: speculative pose generation and reasoning about pose estimation.

Pose Estimation Pose Prediction +1

TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

1 code implementation • 25 Apr 2024 • Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Yao Feng, Michael J. Black

We address the problem of regressing 3D human pose and shape from a single image, with a focus on 3D accuracy.