A Survey of Differentiable Rendering

Selecting important works

1. De La Gorce et al, ‘Model-based 3D Hand Pose Estimation from Monocular Video’, PAMI 2011
2. Loper et al, ‘OpenDR: An Approximate Differentiable Renderer’, ECCV 2014
3. Kato et al, ‘Neural 3D Mesh Renderer’, CVPR 2018
4. Li et al, ‘Differentiable Monte Carlo Ray Tracing through Edge Sampling’, SIGGRAPH Asia 2018
5. Liu et al, ‘Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning’, ICCV 2019
6. Yifan et al, ‘Differentiable Surface Splatting for Point-based Geometry Processing’, SIGGRAPH Asia 2019
7. Loubet et al, ‘Reparameterizing Discontinuous Integrands for Differentiable Rendering’, SIGGRAPH Asia 2019
8. Chen et al, ‘Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer’, NeurIPS 2019
9. Neural Point-Based Graphics
10. Neural Importance Sampling
11. RenderNet: A deep convolutional network for differentiable rendering from 3D shapes