Search Results for author: Chun-Hao P. Huang

Found 4 papers, 3 papers with code

SPEC: Seeing People in the Wild with an Estimated Camera

1 code implementation ICCV 2021 Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black

We then train a novel network that concatenates the camera calibration to the image features and uses these together to regress 3D body shape and pose.

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.

3D Human Pose Estimation

PARE: Part Attention Regressor for 3D Human Body Estimation

1 code implementation ICCV 2021 Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, Michael J. Black

Despite significant progress, we show that state of the art 3D human pose and shape estimation methods remain sensitive to partial occlusion and can produce dramatically wrong predictions although much of the body is observable.

Ranked #2 on 3D Human Pose Estimation on 3DPW (using extra training data)

3D Human Pose Estimation

On Self-Contact and Human Pose

no code implementations CVPR 2021 Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black

Third, we develop a novel HPS optimization method, SMPLify-XMC, that includes contact constraints and uses the known 3DCP body pose during fitting to create near ground-truth poses for MTP images.

Pose Estimation

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