HashPoint: Accelerated Point Searching and Sampling for Neural Rendering

arXiv:2404.14044v1 Announce Type: new
Abstract: In this paper, we address the problem of efficient point searching and sampling for volume neural rendering. Within this realm, two typical approaches are employed: rasterization and ray tracing. The rasterization-based methods enable real-time rendering at the cost of increased memory and lower fidelity. In contrast, the ray-tracing-based methods yield superior quality but demand longer rendering time. We solve this problem by our HashPoint method combining these two strategies, leveraging rasterization for efficient point searching …

arxiv cs.cv neural rendering rendering sampling searching type