使用SMPL進行pose and shape estimation常用數據集關節點信息
1 SMPL模型關節點名稱 self.j_names = { 0: 'Pelvis', 1: 'L_Hip', 2: 'R_Hip', 3: 'Spine1', 4: 'L_Knee', 5: 'R_Knee', 6: 'Spine2', 7: 'L_Ankle', 8: 'R_Ankle', 9: 'Spine3', 10: 'L_Foot', 11: 'R_F
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- 1. (3D-HPE) Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
- 2. VIBE: Video Inference for Human Body Pose and Shape Estimation
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- 5. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
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相關文章
- 1. (3D-HPE) Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
- 2. VIBE: Video Inference for Human Body Pose and Shape Estimation
- 3. DaNet: Decompose-and-aggregate Network for 3D Human Shape and Pose Estimation
- 4. 論文解讀：3D Hand Shape and Pose Estimation from a Singl RGB Image
- 5. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 6. (3D-HPE)End-to-end Recovery of Human Shape and Pose
- 7. 2D多人關鍵點：《Simple Baselines for Human Pose Estimation and Tracking》
- 8. SPIN Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
- 9. tf-pose-estimation 用openpose進行人體骨骼檢測
- 10. 2D Pose Estimation