Spaces:
Running
Running
File size: 2,660 Bytes
7ebede6 b1aa559 7ebede6 19ba03f 7e2471a b1aa559 7e2471a b1aa559 7e2471a b1aa559 7e2471a 19ba03f 7e2471a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
<div class="section" style="padding: 10px 0;">
<p class="muted">
The <span class="emphasis">3D Arena</span> leaderboard evaluates leading generative 3D models. It is inspired by
<a class="emphasis" target="_blank" href="https://huggingface.co/spaces/TTS-AGI/TTS-Arena">TTS-Arena</a>
and
<a class="emphasis" target="_blank" href="https://chat.lmsys.org/">Chatbot Arena</a>.
</p>
</div>
<div class="section">
<h3 class="emphasis">Motivation</h3>
<p class="muted">
Evaluating generated 3D quality quantitatively is challenging, and there is no standard practice for reporting
critical factors like mesh topology in real-world applications.
</p>
<p class="muted">This leaderboard displays usable, final results side-by-side for the community to rank.</p>
</div>
<div class="section">
<h3 class="emphasis">Criteria</h3>
<p class="muted">
Models must handle <span class="emphasis">image</span> (.png, .jpg) inputs and produce
<span class="emphasis">mesh</span>
(.obj, .glb) or <span class="emphasis">splat</span> (.splat, .ply) outputs. They should run end-to-end without human
intervention, including UV unwrapping, texture mapping, and other post-processing.
</p>
<p class="muted">
To preview how your results will look in the leaderboard, upload them to any <a
class="emphasis"
target="_blank"
href="https://huggingface.co/spaces/gradio/model3D">gradio/model3d</a
> viewer.
</p>
</div>
<div class="section">
<h3 class="emphasis">Contributing</h3>
<p class="muted">
All inputs and outputs are publicly available <a
class="emphasis"
target="_blank"
href="https://huggingface.co/datasets/dylanebert/3d-arena">here</a
>.
</p>
<p class="muted">
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.
</p>
</div>
<div class="section">
<h3 class="emphasis">Citing</h3>
<div class="pre-wrapper">
<pre>
<code>
@misc{3d-arena,
author = {Dylan Ebert}
title = {3D Arena}
year = {2024}
publisher = {Hugging Face}
howpublished = \url{https://huggingface.co/spaces/dylanebert/3d-arena}
}
</code>
</pre>
</div>
</div>
|