Point2Mesh is a SIGGRAPH 2020 technique for surface mesh reconstruction from point clouds. It uses a CNN trained on a single object to learn local-scale geometric self-similarity, optimizing convolutional kernel weights to shrink-wrap an initial mesh onto the input point cloud. The implementation uses PyTorch and PyTorch3D for deep learning operations.