Version 1.3
Changes Since Last Release
Major Changes
- Adds a new encoding:
GridEncoding- This encoding can be used to train and render neural graphics primitives instantly (see real-time NeRF flythroughs above)
- It is based on the concept of trainable multiresolution grids which can be backed by hashtables, dense storage, or tiled storage.
- More details in this technical paper.
- tiny-cuda-nn now runs on CUDA 10.2 (previously required CUDA 11 and higher)
- tiny-cuda-nn now only requires C++14 (previously C++17)
Minor Changes
- This repository now supports continuous integration builds through GitHub Actions.
- Added support for 16 neurons wide
FullyFusedMLP - Added support for nesting of
SyncedMultiStream