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HashPoint: Accelerated Point Searching and Sampling for Neural Rendering

CVPR 2024 (Highlight)

teaser

The project provides official implementation of HashPoint in CVPR'24. The HashPoint method significantly improves the efficiency of point searching and sampling by combining rasterization with ray-tracing techniques. Unlike the multi-surface sampling approach of Point-NeRF, HashPoint concentrates on the primary surface, thereby acclerating the rendering process. The video above demonstrates this streamlined approach in action.

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The source code will be released soon.

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