learning-topology-synthetic-data
simplerecon
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learning-topology-synthetic-data | simplerecon | |
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5 | 4 | |
37 | 1,205 | |
- | 1.7% | |
4.3 | 3.3 | |
9 months ago | 11 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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learning-topology-synthetic-data
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Want to use synthetic data, but don't want to deal with domain gap?
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
paper: https://arxiv.org/pdf/2106.02994.pdf
Here are some of the reconstructions produced by our method:
https://github.com/alexklwong/learning-topology-synthetic-da...
https://github.com/alexklwong/learning-topology-synthetic-da...
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[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data
simplerecon
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Real time 3D reconstruction with SimpleRecon
An app would soon be there I think for iPad as well. Right now they have made the code public here: https://github.com/nianticlabs/simplerecon
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SimpleRecon: A Computer Vision Framework that Produces 3D Reconstructions Without the Use of 3D Convolutions
Continue reading | Check out the paper and github link
- SIMPLERECON — 3D Reconstruction without 3D Convolutions — 73ms per frame !
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