Deep Marching Cubes: Learning Explicit Surface Representations

CVPR 2018 Yiyi LiaoSimon DonnéAndreas Geiger

Existing learning based solutions to 3D surface prediction cannot be trained end-to-end as they operate on intermediate representations (e.g., TSDF) from which 3D surface meshes must be extracted in a post-processing step (e.g., via the marching cubes algorithm). In this paper, we investigate the problem of end-to-end 3D surface prediction... (read more)

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