sjc
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
Generate 3D models from 2D images using a special technique that improves the quality of the output.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeScore Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
sjc has 523 stars on GitHub. It has been forked 14 times. sjc is written mainly in Python. It has been in active development since 2022. Its main topics are 3d-generation, diffusion-models.
What is sjc?
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
Is sjc open source?
sjc is an open-source project.
Is sjc free?
Yes. sjc is free and open source — you can use, modify and self-host it.
What language is sjc written in?
sjc is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/pals-ttic-sjc.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.