深度学习三维重建 SurfaceNet-ICCV-2017（源码+原文）

# News - [SurfaceNet+](https://github.com/mjiUST/SurfaceNet-plus) is available in 2020 TPAMI! # SurfaceNet M. Ji, J. Gall, H. Zheng, Y. Liu, and L. Fang. [SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis](https://www.researchgate.net/publication/318920947_SurfaceNet_An_End-to-end_3D_Neural_Network_for_Multiview_Stereopsis). ICCV, 2017 The [poster pdf](https://www.researchgate.net/publication/321126305_ICCV2017_SurfaceNet_poster) is also available.   ## How to run 1. install [Nvidia driver 375 + cuda 8.0 + cudnn v5.1](https://github.com/mjiUST/driver_cuda_cudnn) 2. install the conda environment by: `bash installEnv.sh` * DON'T WORRY, conda will generate an isolated environment for SurfaceNet with python2.7, anaconda, theano, ... etc. That means all your libraries / packeges' version will not be affacted, at the same time the `~/.bashrc` file will not be changed. * before you run, PLEASE change the CUDA/CUDNN path in the files: - `./config/activate-cuda.sh` change the 1st line to your cuda path, e.g.: `export CUDA_ROOT=/usr/local/cuda` - `./config/activate-cudnn.sh` change the 1st line to your cudnn path, e.g.: `export CUDNN_ROOT=/home/<your-user-name>/libs/cudnn` 3. download the network model to the folder "./inputs/SurfaceNet_models" from the Dropbox [folder](https://www.dropbox.com/sh/8xs0u57ikj4qfvr/AADRQFQyJfG3WfH7ZvpcWmMKa?dl=0) 4. if the conda environment has been installed, one can activate it by: `. activate SurfaceNet`; deactivate it by: `. deactivate`. 5. in terminal run: `python main.py` ## Evaluation results Some evaluation results are uploaded, including '.ply' files and the detailed number of Table 3. This could be helpful if you want to compare with this work. ## License SurfaceNet is released under the MIT License (refer to the LICENSE file for details). ## Citing SurfaceNet If you find SurfaceNet useful in your research, please consider citing: @inproceedings{ji2017surfacenet, title={SurfaceNet: An End-To-End 3D Neural Network for Multiview Stereopsis}, author={Ji, Mengqi and Gall, Juergen and Zheng, Haitian and Liu, Yebin and Fang, Lu}, booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)}, pages={2307--2315}, year={2017} }