Sign inGet started
Dataset · Hugging Face

OwOpeepeepoopoo/ar2610-trellis2

Native and Compact Structured Latents for 3D Generation https://github.com/user-attachments/assets/63b43a7e-acc7-4c81-a900-6da450527d8f (Compressed version due to GitHub size limits. See the full-quality video on our project page!) TRELLIS.2 is a state-of-the-art large 3D generative model (4B parameters) designed for high-fidelity image-to-3D generation. It leverages a novel "field-free" sparse voxel structure termed O-Voxel to reconstruct and generate arbitrary 3D assets… See the full description on the dataset page: https://huggingface.co/datasets/OwOpeepeepoopoo/ar2610-trellis2.

Author / organizationOwOpeepeepoopoo
Downloads182 (as reported by Hugging Face)
Likes0
Created26 October 2026
Last updated at source26 October 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/1c92e437-d298-4cb7-b0b4-21f31b0ff2e6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 4 days

182 now (+182 since 2026-10-26). Counts as reported by the source, snapshotted daily by Silytics.

More from OwOpeepeepoopoo

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 7 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.