Comments (3)
You can find the mesh here. Unfortunately, I don't have the config but I guess you can start from the one provided and do some tweaks accordingly. The implementation of the repo is not the same as the original paper so probably you cannot reproduce the exact same result.
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I cannot find the same buddha mesh in the link you send me . About the implementation .. are the rendered images of the normals and depth values taken after splatting or simply the result of the scripts/create_mvr_data_from_mesh
?
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Sorry, you can find the correct mesh in the training split of Sketchfab dataset.
For the second question, I think the results are rendered after splatting
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Related Issues (20)
- Missing positional argument when constructing empy PointFragment HOT 1
- undefined symbol HOT 1
- Several errors HOT 6
- Confused about learn_color HOT 3
- Using custom renderer to generate mvr data HOT 4
- How to compute the gradient of the regularization terms and update point and normal( Eq 15,16)?
- Supporting for newer pytorch version HOT 1
- Negative GVdets
- issue about Iso-Points
- RuntimeError: Tensors must have same number of dimensions: got 4 and 5 HOT 3
- AttributeError: _evt HOT 2
- ValueError: Invalid vertices in file. HOT 2
- Visualization of the results HOT 2
- Unused config learning rate
- Pix2Pix results
- Issue with running demo HOT 2
- problem with dense depth HOT 1
- imageio version 2.8.0 does not support exr! HOT 2
- Confused with the backward of RasterizeAutograd HOT 2
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