Neural Bounding

arXiv:2310.06822v3 Announce Type: replace-cross
Abstract: Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception. In this work, we study the use of neural networks as bounding volumes. Our key observation is that bounding, which so far has primarily been considered a problem of computational geometry, can be redefined as a problem of learning to classify space into free or occupied. This learning-based approach is particularly advantageous in high-dimensional …

arxiv cs.cv cs.gr replace type