論文學習筆記：《DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image》
目標： 從單張彩色圖像直接回歸出3D人體的姿態和形狀。 —————————————————————————————————————— 亮點： 之前的工作都是先根據圖像生成中間結果（比如人體分割、2D/3D關節點、輪廓… ），再通過網絡得到shape和pose。 這篇文章用CNN直接從單張圖迴歸出了3D人體網格。 —————————————————————————————————————— 相關工作
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相關文章
- 1. (3D-HPE)Learning to Estimate 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. 論文解讀：3D Hand Shape and Pose Estimation from a Singl RGB Image
- 4. 3D Face Reconstruction from a Single Image
- 5. From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks && 2020論文筆記
- 6. 【論文閱讀筆記】VNect: Real-time 3D human Pose Estimation with a Single RGB
- 7. Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
- 8. DensePose: Dense Human Pose Estimation In The Wild
- 9. 《Learning to Estimate 3D Hand Pose from Single RGB Images》 論文筆記
- 10. Learning to Estimate 3D Hand Pose from Single RGB Image&筆記