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3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks


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Introduction

This archive contains source code for training / testing our algorithm for converting 2D sketches into 3D shapes. The code base contains two parts: the Network Part and the Fusion Part.

Network Part

The network part contains Python code for predicting depth and normal maps from input sketch images. The code uses TensorFlow framework to train and test the deep neural networks. Please read the README file within the Network folder for more details.

Fusion Part

The fusion part contains C++ code for fusing depth and normal maps to 3D shapes. Visual Studio is required to compile and run our code. Please read the README file within the Fusion folder for more details.

Other Notes