DiffPose: Toward More Reliable 3D Pose Estimation
Author:
Affiliation:
1. Singapore University of Technology and Design
2. New York University
3. Monash University
4. Lancaster University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203375.pdf?arnumber=10203375
Reference54 articles.
1. Exploiting temporal information for 3d human pose estimation;imtiaz hossain;ECCV,0
2. Denoising diffusion probabilistic models;ho;Advances in neural information processing systems,2020
3. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
4. Conditional Directed Graph Convolution for 3D Human Pose Estimation
5. A recipe for watermarking diffusion models;zhao;ArXiv Preprint,2023
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