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README.md

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@@ -3,6 +3,8 @@ PyTorch implementation of CloudWalk's recent paper [DenseBody](https://arxiv.org
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**Note**: For most recent updates, please check out the `dev` branch.
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**Update on 20190613** A toy dataset has been released to facilitate the reproduction of this project. checkout [`PREPS.md`](PREPS.md) for details.
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![paper teaser](teaser/teaser.jpg)
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### Reproduction results
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- [x] Making UV_map generation module a separate class.
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- [x] [20190413]() Prepare ground truth UV maps for washed dataset.
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- [x] [20190417]() SMPL official UV map supported!
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- [x] [20190613]() A testing toy dataset has been released!
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- [x] Prepare baseline model training
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- [x] [20190414]() Network design, configs, trainer and dataloader
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- [x] [20190414]() Baseline complete with first-hand results. Something issue still needs to be addressed.
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- [x] [20190420]() Testing with different UV maps.
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- [ ] Testing with several new loss functions.
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- [ ] Report 3D reconstruction results.
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- [ ] Setup evaluation protocal and MPJPE-PA metrics.
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### Authors
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**[Lingbo Yang(Lotayou)](https://github.com/Lotayou)**: The owner and maintainer of this repo.

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