3D human pose estimation in video with temporal convolutions and semi-supervised training

时间 2020-12-30

标签深度学习繁體版

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一、简介本文是CVPR2019的文章，预测视频中的三维人体姿态，主要是通过时域上的卷积，将2D人体姿态点提升为3D人体姿态点。该方法具有通用性，可兼容多种2D人体姿态点预测方法，如Mask R-CNN、cascaded pyramid network (CPN) 、AlphaPose、OpenPose等等。 3D Pose Git地址 https://github.com/facebookres

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1. 文献阅读: 3D human pose estimation in video with temporal convolutions and semi-supervised training
2. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
3. VIBE: Video Inference for Human Body Pose and Shape Estimation
4. 【转】DensePose: Dense Human Pose Estimation In The Wild
5. UniPose: Unified Human Pose Estimation in Single Images and Videos
6. DensePose: Dense Human Pose Estimation In The Wild
7. Human Pose Estimation with Iterative Error Feedback
8. 论文阅读: 3D Human Pose Estimation in the Wild by Adversarial Learning
9. Fast Human Pose Estimation
10. Whole-Body Human Pose Estimation in the Wild
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1. 文献阅读: 3D human pose estimation in video with temporal convolutions and semi-supervised training
2. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
3. VIBE: Video Inference for Human Body Pose and Shape Estimation
4. 【转】DensePose: Dense Human Pose Estimation In The Wild
5. UniPose: Unified Human Pose Estimation in Single Images and Videos
6. DensePose: Dense Human Pose Estimation In The Wild
7. Human Pose Estimation with Iterative Error Feedback
8. 论文阅读: 3D Human Pose Estimation in the Wild by Adversarial Learning
9. Fast Human Pose Estimation
10. Whole-Body Human Pose Estimation in the Wild

>>更多相关文章<<