diffusion-net
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nmwsharp
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
Hi! First of all, thank you for sharing DiffusionNet with us, great work! I am trying to use DiffusionNet to remesh 3d models (or point clouds) in order to have...
Hey, just discovered this work and it looks extremely great! I'd be very excited if it was possible to explore possible integrations into our current research. I tried installing under...
Since there was a call for demo ideas I’ll write a few. https://github.com/hjwdzh/Manifold
Since there was a call for demo ideas I’ll write a few. This idea is mesh decimation with diffusion net.
Hello, are there any examples of applying diffusion-net to Functional Maps?
Dear author, Thanks to your great work and code release for DiffusionNet. When I am working with DiffusionNet, I am wondering if there is a solution to train DiffusionNet with...
Thank you for open your code and datasets. But could you please release the RNA dataset (mesh) for the segmentation? Thank you very much!
Hi Nicholas, Thanks for open-sourcing your code. I am using this method for point-cloud classification problem. I wanted to know what classification head did you use in SHREC'11 dataset? The...
Hi folks, Thanks for sharing the code for this paper, it's a great read and really highlights some of the limitations of the state of the art. Would it be...
Thanks for sharing your awesome work. I'm trying to work with inputs that have the following shapes: mesh coordinates: x, y, z mesh level scalar parameters: e.g: `A=10, B=12, C=150,...
