Torch-ngp - A pytorch implementation of the hash encoder proposed in instant-ngp

Last update: Jan 01, 2023

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Overview

HashGrid Encoder (WIP)

A pytorch implementation of the HashGrid Encoder from instant-ngp, as described in Instant Neural Graphics Primitives with a Multiresolution Hash Encoding.

Note: This repo only tries to implement the hash grid encoder for now, and is far from instant (especially for NeRF experiments).

SDF	NeRF

Progress

HashGrid Encoder
- basic pytorch CUDA extension
- fp16 support
Experiments
- SDF
  - baseline
  - better SDF calculation (especially for non-watertight meshes)
- NeRF
  - baseline (although much slower)
  - ray marching in CUDA.

Usage

We use the same data format as instant-ngp, e.g., armadillo and fox. Please download the data from instant-ngp and put them under ./data.

# SDF experiment
bash scripts/run_sdf.sh

# NeRF experiment
bash scripts/run_nerf.sh

Owner

hawkey

nameless kiui.

GitHub Repository

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