pals-ttic/sjc

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)

35
/ 100
Emerging

This project helps 3D artists, game developers, or visual effects creators generate detailed 3D models of objects and scenes from simple text descriptions. You provide a text prompt describing the desired object or scene, and it generates a 3D volumetric representation that can be viewed from multiple angles. This is for professionals who need to quickly prototype or create 3D assets without manual modeling.

523 stars. No commits in the last 6 months.

Use this if you need to generate a 3D model of an object or scene quickly from a text description, leveraging the power of existing 2D image generation models.

Not ideal if you require highly specific, pixel-perfect control over intricate model details or need to integrate custom-finetuned diffusion models with complex view dependencies.

3D-modeling generative-design digital-asset-creation computer-graphics virtual-reality-asset-creation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

523

Forks

14

Language

Python

License

Last pushed

Mar 13, 2024

Commits (30d)

0

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