(3D-HPE)Learning to Estimate 3D Human Pose and Shape from a Single Color Image
Learning to Estimate 3D Human Pose and Shape from a Single Color Image（CVPR2018） 本文解決的問題是 從單幅彩色圖片估計人的全身3D姿態和體型（pose & shape） 在end-to-end網絡中加入了SMPL模型。這樣僅需很少的參數就可以得到詳細的3D網格結果。文章也說明了，可以從2D的關節點和掩膜（masks）得
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- 1. 論文學習筆記：《DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image》
- 2. (3D-HPE) Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
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- 8. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
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相關文章
- 1. 論文學習筆記：《DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image》
- 2. (3D-HPE) Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
- 3. Learning to Estimate 3D Hand Pose from Single RGB Image&筆記
- 4. 論文解讀：3D Hand Shape and Pose Estimation from a Singl RGB Image
- 5. 3D Face Reconstruction from a Single Image
- 6. (3D-HPE)Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
- 7. 《Learning to Estimate 3D Hand Pose from Single RGB Images》 論文筆記
- 8. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 9. (3D-HPE)End-to-end Recovery of Human Shape and Pose
- 10. SPIN Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop