nvdiffrec
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Extract 3D models, materials, and lighting from images using advanced optimization techniques.
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 anytimeOfficial code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
nvdiffrec has 2.3k stars on GitHub. It has been forked 248 times. nvdiffrec is written mainly in Python. It has been in active development since 2021. Its main topics are deep-learning, pytorch.
What is nvdiffrec?
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Is nvdiffrec open source?
nvdiffrec is an open-source project.
Is nvdiffrec free?
Yes. nvdiffrec is free and open source — you can use, modify and self-host it.
What language is nvdiffrec written in?
nvdiffrec is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nvlabs-nvdiffrec.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.