This is a repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction". There are three GAN projects held here. The first, held in the folder 3D-Generation, is code for generating 3D objects. The second, held in the folder 3D-reconstruction-Image, is code for producing 3D objects when conditioned on image inputs. The third, held in the folder 3D-reconstruction-Kinect, is code for reconstructing 3D objects, from single perspective depth scans.

A diagram outlining the 3 Generative Adverserial Networks used in this repo.

Example 3D objects generated from a distribution constisting of 10 3D object classes in 12 orientations, rotated for easy viewing.

Comparison of 3D-IWGAN's generation ability compared to that of 3D-GAN's.

please cite my paper if you use this repo for research https://arxiv.org/abs/1707.09557

Please check out my new paper's repo here if you have an interest in 3D generation and reconstruction. Example Reconstruction: