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Tommy Xiang

1 accepted papers

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.…