Occupancy Networks Learning 3D Reconstruction in Function Space
Published:
3D output representation
- both memory efficient and efficiently inferred from data
 - voxel: memory hungry
- even using octrees: 256^3
 
 - point clouds: need additional processing steps
 - mesh: hard t oinferred by feed-forward network
 - Occupancy Networks
- field similar to texture field
 - loss: cross-entropy
 - MISE: incrementally building an octree
 - refine using gradient information: gradient toward GT normal
 
 - experiment: similar to texture field
 
