MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Author:
Affiliation:
1. Shenzhen Graduate School, Peking University,Key Laboratory of Machine Perception
2. Computer Vision Lab, ETH Zurich
3. Alibaba Group
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880430.pdf?arnumber=9880430
Reference47 articles.
1. Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks
2. Motion guided 3D pose estimation from videos;wang;Proceedings of the European Conference on Computer Vision (ECCV),0
3. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
4. GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
5. VNect: Real-time 3D human pose estimation with a single rgb camera;mehta;ACM Transactions on Graphics,2017
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