The 3D Arena leaderboard evaluates leading generative 3D models. It is inspired by TTS-Arena and Chatbot Arena.

Motivation

Evaluating generated 3D quality quantitatively is challenging, and there is no standard practice for reporting critical factors like mesh topology in real-world applications.

This leaderboard displays usable, final results side-by-side for the community to rank.

Criteria

Models must handle image (.png, .jpg) inputs and produce mesh (.obj, .glb) or splat (.splat, .ply) outputs. They should run end-to-end without human intervention, including UV unwrapping, texture mapping, and other post-processing.

To preview how your results will look in the leaderboard, upload them to any gradio/model3d viewer.

Contributing

All inputs and outputs are publicly available here.

To contribute a model, run your model on all input images and create a pull request with your model's output. Refer to other examples in the dataset to understand the expected format.

Citing

            
                @misc{3d-arena,
                    author = {Dylan Ebert}
                    title = {3D Arena}
                    year = {2024}
                    publisher = {Hugging Face}
                    howpublished = \url{https://huggingface.co/spaces/dylanebert/3d-arena}
                }