IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)

Authors: Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker

Paper: http://www.cs.umd.edu/~yuejiang/papers/SDFDiff.pdf

Video: https://www.youtube.com/watch?v=l3h9JZHAOqI&t=13s

To get started:

git clone https://github.com/YueJiang-nj/CVPR2020-SDFDiff.git

1. Python3 
2. CUDA10
3. Pytorch

The project has the following file layout:

README.md
multi_view_code/
	bunny.sdf
	dragon.sdf
	code/
	  	main.py
	  	renderer.cpp
	  	renderer_kernel.cu
	  	setup.py
 single_view_code/
 	differentiable_rendering.py
 	main.py
 	models.py
 	renderer.cpp
 	renderer_kernel.cu
 	setup.py

multi_view_code contains the source code for multi-view 3D reconstruction using our SDFDiff;

single_view_code contains the source code for single-view 3D reconstruction using our SDFDiff and deep learning models;

To run multi-view 3D reconstruction example, you can follow the following steps in the folder multi_view_code/code:

1. You need to run “python setup.py install” to compile our SDF differentiable renderer.

2. Once built, you can execute the bunny reconstruction example via “python main.py”