Instructions to use microsoft/renderformer-v1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RenderFormer
How to use microsoft/renderformer-v1-base with RenderFormer:
# Install from https://github.com/microsoft/renderformer from renderformer import RenderFormerRenderingPipeline pipeline = RenderFormerRenderingPipeline.from_pretrained("microsoft/renderformer-v1-base") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
- renderformer
license: mit
RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
This repo contains the weights of RenderFormer-V1-Base.
Quick Start
Please refer to our Github Repo and Paper.
Citation
If you find our repository useful, please cite our paper in your work:
@inproceedings {zeng2025renderformer,
title = {RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination},
author = {Chong Zeng and Yue Dong and Pieter Peers and Hongzhi Wu and Xin Tong},
booktitle = {ACM SIGGRAPH 2025 Conference Papers},
year = {2025}
}