pals-ttic/sjc
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
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.
Stars
523
Forks
14
Language
Python
License
—
Category
Last pushed
Mar 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/pals-ttic/sjc"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jayin92/Skyfall-GS
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
ActiveVisionLab/gaussctrl
[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D...
deepseek-ai/DreamCraft3D
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with...