Learning to Rasterize Differentiably (Updating...)

This is the official code implementation for our EGSR 2024 Paper Learning to Rasterize Differentiably.

This work has another implementation version in Jax here.

Requirements

CUDA Toolkit (for compilation), and PyTorch>=1.9.0 (matching the CUDA version).

For example:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

If failed please refer to the official website and try different versions.

And then we recommand to create a new conda environment.

conda env create -n metaras -f metaras.yml
conda activate metaras

Setup

Clone this repo and insatll

git clone https://github.com/Theo-Wu/MetaRas.git && cd MetaRas
pip install .