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Hello, thank you for your comprehensive library.
Have you implemented helical curve detector geometry for reconstruction based on the following paper?
"A three-dimensional-weighted cone beam fil…
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I'm trying to reconstruct the mesh of large scene such as Mill 19 - Building dataset. But the results are not good. Since the Building dataset is drone-view dataset and it is quite different with 360 …
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Hello,
Thank you for the excellent library you have developed.
I have reviewed the Python demo code you wrote for helical ([d03_helical.py](https://github.com/LLNL/LEAP/blob/main/demo_leapctype/…
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Update script 01_import_data that transforms data to a single data.table with three columns: recon_id, time, value.
The values recon_id should be the same with the ones in the data.table table reco…
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Hi, thanks for your great reproduction, I've trained it in ImageNet. An issue is there are many noisy points in reconstruction images, especially for black background, as shown in the picture. Do you …
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I kowe the encoder which is adapted to the target image domain can generates feature representations in a domain-specific view and the frozen encoder can provide the view from pre-train image domain. …
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Hi, thanks for your great work and model, I want talking about the reconstruction quality of released TiTok.
I found the reconstruction visualization is not good, see the following picture. In the ar…
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Current idea:
1. Enhance PPSurf
2. Better and larger dataset, including e.g. apartment scans
3. Add camera view vectors from COLMAP to point cloud like in Sulzer et al.
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Thank you for your efforts! While running your code with the demo data, everything works perfectly; the mesh reconstruction aligns well with the expressions and shape of the demo data.
However, whe…
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Hello, the result obtained by the decoder is a list. Has the original image been reconstructed? After I output the element "shape" in the list, it seems to be different from the "shape" of the origina…