RenderFormer/renderformer-video-data

RenderFormer Video Data

This repo contains the example data for RenderFormer video rendering.

Quick Start

Please refer to our Github Repo and Paper.

Acknowledgement

In addition to the 3D model from Objaverse, we express our profound appreciation to the contributors of the 3D models that we used in the examples.

• —**Shader Ball**: by Wenzel Jakob from Mitsuba Gallery
• —Stanford Bunny & Lucy: from The Stanford 3D Scanning Repository
• —Cornell Box: from Cornell Box Data, Cornell University Program of Computer Graphics
• —Utah Teapot: from Utah Model Repository
• —Veach MIS: From Eric Veach and Leonidas J. Guibas. 1995. Optimally combining sampling techniques for Monte Carlo rendering
• —Spot: By Keenan Crane from Keenan's 3D Model Repository
• —**Klein Bottle**: By Fausto Javier Da Rosa
• —Constant Width: Original mesh from Small volume bodies of constant width. Derived mesh from Keenan's 3D Model Repository
• —**Jewelry**: By elbenZ
• —**Banana**, **Easter Basket**, **Water Bottle**, **Bronco**, **Heart**: By Microsoft
• —**Lowpoly Fox**: By Vlad Zaichyk
• —**Lowpoly Crystals**: By Mongze
• —**Bowling Pin**: By SINOFWRATH
• —**Cube Cascade**, **Marching Cubes**: By Tycho Magnetic Anomaly
• —**Dancing Crab**: By Bohdan Lvov
• —**Magical Gyroscope**: By reddification
• —**Capoeira Cube**: By mortaleiros
• —**P.U.C. Security Bot**: By Gouhadouken

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}
}