README.md

metadata

license: other
license_name: 3d-front-license-nc
license_link: https://3dfront.github.io/
library_name: worldflow3d
tags:
  - 3d-scene-generation
  - flow-matching
  - diffusers
  - indoor
  - front3d
  - non-commercial

WorldFlow3D — Front3D (indoor) models

Layout-conditioned 3D indoor-scene generation (3D-FRONT), as a coarse → color refinement flow-matching cascade. Use with the worldflow3d package (pip install worldflow3d).

License. These models are trained on the 3D-FRONT dataset and are released for non-commercial / research use under the 3D-FRONT dataset terms. The worldflow3d code is Apache-2.0, but that license does not grant rights to these 3D-FRONT-derived weights. See the 3D-FRONT dataset terms.

The Waymo (outdoor) models are trained on the Waymo Open Dataset and live in a separate repo, pci-lab/worldflow3d-waymo, under the Waymo Dataset License (non-commercial).

Cascade stages

Subfolder	Role
front3d-coarse	coarse layout-conditioned generation (direct-diffusion)
front3d-color	source-flow + color refinement (UNet in=4, color mesh sidecar)

Usage

from worldflow3d import WorldFlow3DPipeline

pipe = WorldFlow3DPipeline.from_hub(
    "pci-lab/worldflow3d", stage="front3d-coarse",
    refinement_stages=["front3d-color"], device="cuda",
)

See the GitHub repo for full docs and the generate_indoor CLI.