| license: mit | |
| tags: | |
| - model_hub_mixin | |
| - pytorch_model_hub_mixin | |
| - renderformer | |
| pipeline_tag: image-to-image | |
| library_name: pytorch | |
| # RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination</h1> | |
| This repo contains the weights of **RenderFormer-V1-Base**. | |
| Project Page: https://microsoft.github.io/renderformer/ | |
| ## Quick Start | |
| Please refer to our [Github Repo](https://github.com/microsoft/renderformer) and [Paper](https://arxiv.org/abs/2505.21925). | |
| ## Citation | |
| If you find our repository useful, please cite our paper in your work: | |
| ```bibtex | |
| @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} | |
| } | |
| ``` | |
| ## Data Summary | |
| https://huggingface.co/microsoft/renderformer-v1-base/blob/main/data_summary_card.md |