Hunyuan3D-2
Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.
Microsoft Research's structured 3D representation model.
Runs locally · High-end GPU (16–24 GB)
Image-to-3D fits 16 GB; text-to-3D wants 24 GB.
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if TRELLIS the company changes direction.
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
A standard local install — download, install dependencies, point at your GPU.
Needs 16 GB minimum — RTX 3090 / 4090 territory.
Source is public — auditable and forkable, no vendor lock.
105 days since the last catalogue refresh — flagged for re-verification.
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Three picks across different tradeoffs — so you don't end up with three near-clones of TRELLIS.
TRELLIS uses a novel 'structured latent' representation — joint sparse-voxel + feature-grid — to generate high-quality 3D assets (mesh + Gaussian splat + radiance field) from images or text. MIT license, image-to-3D and text-to-3D pipelines.
MIT.
Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.
Novel-view synthesis — generate any angle from a single image.