Privacy and advertising choices
Git-Stars uses essential storage for site operation. Optional analytics and ad-measurement scripts stay disabled unless you accept them; partners such as Google may then use cookies or similar identifiers where required. Privacy Policy
Native and Compact Structured Latents for 3D Generation
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
70
review score
Problem solved
It addresses the limitations of existing 3D generative models in handling complex topologies (open surfaces, non-manifold geometry, internal structures) and achieving high-resolution, efficient generation with full PBR materials.
Deployment reality
The available setup signal starts with: git clone -b main https://github.com/microsoft/TRELLIS.2.git --recursive && cd TRELLIS.2 && . ./setup.sh --new-env --basic --flash-attn --nvdiffrast --nvdiffrec --cumesh --o-voxel --flexgemm. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
microsoft/TRELLIS.2 still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
microsoft/TRELLIS.2 is tracked as a Python project in the AI App area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 10k total stars, with +0 today, +1.3k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 96 days ago, and the open issue queue is 143, about 1.37% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 1.2k forks and 10k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 1.3k. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
10k Stars
Reuse
1.2k Forks
Attention
10k Watchers
Maintenance
moderate
License
MIT
Open issues
143
TRELLIS.2 is a state-of-the-art large 3D generative model (4B parameters) for high-fidelity image-to-3D generation, using a novel 'field-free' sparse voxel structure called O-Voxel to reconstruct and generate arbitrary 3D assets with complex topologies, sharp features, and full PBR materials.
Key Features
- High quality, resolution & efficiency: generates up to 1536³ resolution assets in ~60s using vanilla DiTs and a Sparse 3D VAE with 16× spatial downsampling. - Arbitrary topology handling: O-Voxel representation robustly handles open surfaces, non-manifold geometry, and internal enclosed structures. - Rich texture modeling: models base color, roughness, metallic, and opacity for photorealistic rendering and transparency support.
AI App
End-user AI applications and AI-native product examples
git clone -b main https://github.com/microsoft/TRELLIS.2.git --recursive && cd TRELLIS.2 && . ./setup.sh --new-env --basic --flash-attn --nvdiffrast --nvdiffrec --cumesh --o-voxel --flexgemm70
Health Score
Moderate
Commit Activity
Nov 26, 2025
Created
Jul 10, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
microsoft
GitHub profilepublic-apis/public-apis
A collective list of free APIs
EbookFoundation/free-programming-books
:books: Freely available programming books
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
vinta/awesome-python
An opinionated list of Python frameworks, libraries, tools, and resources
practical-tutorials/project-based-learning
Curated list of project-based tutorials
✓
License
✓
Forked
~ Moderate
Maintained