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This issue is intended to collect related papers appearing in ICCV'23/NeurIPS'23 and recent papers missed out in the survey. Please feel free to post comments if you have any suggestions!
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I have created a repository based on your learning model of "04_real_rooms_model" in the following address:
https://github.com/enrutador/3Dconexion-HomeSmartMesh
I using this lib :
https://gith…
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# Issue
**Teleporting to a chosen campath point takes a huge amount of time:**
1. `mirv_campath print`
2. Find and copy position of the point
3. `mirv_input position `
4. Copy fov
5. `mirv_inp…
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您好,我看了您的论文
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
以后,受益匪浅,想问下您,这个代码目前可以开源吗,我十分想对此代码进行复现,但目前遇到了一些问题
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Hi
Thanks for sharing the work. I'm trying to repro the RAFT variants (2D flow backprojected, 3D flow) mentioned in the paper. I'm facing some numerical instabilities and was wondering did you expe…
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Great package. I am wondering if there is possibility to use this package for 3D volumetric data (images)?
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I have a small flake for tensorflow/keras dev:
```
{
description = "Deep learning environment";
outputs = { self, nixpkgs }:
let pkgs = nixpkgs.legacyPackages.x86_64-linux;
mypython = pk…
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Hi,
I noticed the links provided for the papers associated to the Compact and Dense U-Net architectures are wrong.
Both links are pointing to the ResNet paper "[Deep Residual Learning for Image Reco…
uvbkq updated
3 years ago
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Hi @charlesq34,
I wanted to know if it is possible to use Transfer Learning using PointNet Architecture.
I would request someone to guide me in achieve this or guide me in the right direction.
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In shapecompression/quantize_and_test3D.py 161 line
`model = convert_to_nn_module_in_place(model)`
it's undefined.