Ross ROSS = Recommend OSS · open-source software intelligence for agents

microsoft/TRELLIS

Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight). observed · 2026-08-28

github.com/microsoft/TRELLIS · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 89
  • Release rhythm 35
  • Longevity 45

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 639
  • days_rel: n/a
  • days_push: 68
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

13510 stars · 1326 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TRELLIS is Microsoft's large-scale 3D asset generation model that creates high-quality 3D assets from text or image prompts. It uses a unified Structured LATent (SLAT) representation to decode into multiple output formats including Radiance Fields, 3D Gaussians, and meshes, with support for local 3D editing.

Use cases

  • generate 3d models from text prompts
  • convert images to 3d assets
  • create game-ready 3d meshes from a photo
  • generate 3d gaussian splat representations
  • edit or create variants of generated 3d objects
  • produce radiance field assets for rendering

When to choose

  • you need high-quality 3D assets generated from text or images
  • you want flexible output formats like meshes, 3D Gaussians, or radiance fields
  • you need local editing or variant generation of 3D assets
  • you have GPU resources and want a state-of-the-art open 3D generation model

When to avoid

  • you need real-time 3D generation on CPU-only hardware
  • you require precise CAD-style or parametric 3D modeling rather than generative assets
  • you cannot meet the GPU memory requirements of large pretrained models

Facets

library · maturity active

machine-learning deep-learning image-processing graphics simulation artificial-intelligence machine-learning graphics python cross-platform 3d-generation text-to-3d image-to-3d 3d-gaussians mesh-generation generative-models cvpr diffusion-transformer game-development gpu linux

2 sources

Member repositories

RepositoryRoleHealth v2
microsoft/TRELLISmain61

For agents

markdown · JSON · MCP: product_card(name="microsoft/TRELLIS")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem