point2mesh
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Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Dear @ranahanocka and @galmetzer -- thank you for your work! I believe this PR: fixes #10 fixed #31 One of my students -- @Domi2000 -- was working on a wrapper...
Hello,I have read your paper and run your code. It's obvious that your idea and code are both attractive. As a layman on programming,I want to know if the pictures...
Hi! I'd love to thank you for sharing the code of your project. It is very interesting! I am trying to make it run in order to see if this...
Sorry to bother you. If I understand correctly, in each level, the input of the Self-Prior includes M and random constant C. Is M represented by the three coordinates of...
hello,@ranahanocka Your work is great and i am very interested in your article, and I have some questions to ask you. I have five GPUs, how to call multiple GPUs...
On running `conda env create -f environment.yml`, I am getting the following error: ``` Collecting package metadata: done Solving environment: failed ResolvePackageNotFound: - pytorch3d=0.2.0 ``` I tried with `pip` but...
Hi, @ranahanocka, According to the script [noisy_guitar.sh](https://github.com/ranahanocka/point2mesh/blob/master/scripts/examples/noisy_guitar.sh), the file `noisy_guitar.ply` is needed. However, the provided [data](https://www.dropbox.com/s/nn9hsww6mr0zccm/data.tar?file_subpath=%2Fdata) doesn't contain the file noisy_guitar.ply. Could you upload the file `noisy_guitar.ply`? Thanks~
Hi @ranahanocka , Your work seems really impressive. I am trying to reconstruct the shape (superquadric) parameters given the point cloud. For a single shape, I have achieved satisfactory results,...
Hi, Thank you for the excellent framework. Running "bash ./scripts/examples/giraffe.sh" and got the error below when it gets to "1000" iteration: ---------------------------------------------------------------------------------------- Traceback (most recent call last): File "main.py", line...
```shell point2mesh/models/layers/mesh.py", line 131, in build_gfmm return torch.Tensor(gfmm).long().to(self.device) ValueError: expected sequence of length 3 at dim 1 (got 2) ```