论文学习笔记：《DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image》
目标： 从单张彩色图像直接回归出3D人体的姿态和形状。 —————————————————————————————————————— 亮点： 之前的工作都是先根据图像生成中间结果（比如人体分割、2D/3D关节点、轮廓… ），再通过网络得到shape和pose。 这篇文章用CNN直接从单张图回归出了3D人体网格。 —————————————————————————————————————— 相关工作
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相关文章
- 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. 论文解读：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论文笔记
- 6. 【论文阅读笔记】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》 论文笔记
- 10. Learning to Estimate 3D Hand Pose from Single RGB Image&笔记