Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Revision as of 17:25, 31 January 2022 by David (talk | contribs) (Created page with " [https://nvlabs.github.io/instant-ngp/ Project Webpage] Allows training a NeRF or other neural representation in seconds but optimizing features in a hash table.<br> This is faster than an octree since it doesn't require pointer chasing while using less space than enumerating voxels.<br> Furthermore, the size of the hash table allows control over the amount of detail. ==Method== ===Multi-resolution Hash Encoding=== ==Experiments== ==References== Category: Papers")
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Project Webpage

Allows training a NeRF or other neural representation in seconds but optimizing features in a hash table.
This is faster than an octree since it doesn't require pointer chasing while using less space than enumerating voxels.
Furthermore, the size of the hash table allows control over the amount of detail.

Method

Multi-resolution Hash Encoding

Experiments

References