2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
NeurIPS 2020poster
3D shape representations that accommodate learning-based 3D reconstruction are an open problem in machine learning and computer graphics. Previous work on neural 3D reconstruction demonstrated benefits, but also limitations, of point cloud, voxel, surface mesh, and implicit function representations.…