instant-ngp

About this project

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives, being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes. In each case, we train and render a MLP with multiresolution hash input encoding using the tiny-cuda-nn framework. Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller ACM Transactions on Graphics (SIGGRAPH), July 2022 Project page /…

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