Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
Generate 3D models using a diffusion method with provided code and pretrained models for various objects.
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 implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
MeshDiffusion has 834 stars on GitHub. It has been forked 42 times. MeshDiffusion is written mainly in Python. It has been in active development since 2023. MeshDiffusion is available under the MIT license. Its main topics are diffusion-models, generative-model, mesh-generation, pytorch.
Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
MeshDiffusion is an open-source project. It is released under the MIT license.
Yes. MeshDiffusion is free and open source — you can use, modify and self-host it.
MeshDiffusion is available under the MIT license.
MeshDiffusion is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lzzcd001-meshdiffusion.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.