Search Results for author: Priyanka Patel

Found 7 papers, 5 papers with code

PromptHMR: Promptable Human Mesh Recovery

1 code implementation CVPR 2025 Yufu Wang, Yu Sun, Priyanka Patel, Kostas Daniilidis, Michael J. Black, Muhammed Kocabas

Human pose and shape (HPS) estimation presents challenges in diverse scenarios such as crowded scenes, person-person interactions, and single-view reconstruction.

Human Mesh Recovery

Toward Human Understanding with Controllable Synthesis

no code implementations13 Nov 2024 Hanz Cuevas-Velasquez, Priyanka Patel, Haiwen Feng, Michael Black

While BEDLAM demonstrates the potential of traditional procedural graphics to generate such data, the training images are clearly synthetic.

CameraHMR: Aligning People with Perspective

2 code implementations12 Nov 2024 Priyanka Patel, Michael J. Black

We use the estimated intrinsics to enhance the 4D-Humans dataset by incorporating a full perspective camera model during SMPLify fitting.

3D human pose and shape estimation

ChatPose: Chatting about 3D Human Pose

no code implementations CVPR 2024 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

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

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