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  1. LICENSE +3 -4
  2. README.md +6 -7
  3. docs/installation.md +1 -0
LICENSE CHANGED
@@ -39,12 +39,11 @@ You acknowledge that the Data & Software is a valuable scientific resource and a
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  Citation:
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- @misc{xiu2022econ,
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- title={ECON: Explicit Clothed humans Obtained from Normals},
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  author={Xiu, Yuliang and Yang, Jinlong and Cao, Xu and Tzionas, Dimitrios and Black, Michael J.},
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  year={2022}
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- publisher={arXiv},
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- primaryClass={cs.CV}
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  }
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  Commercial licensing opportunities
 
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  Citation:
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+ @article{xiu2022econ,
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+ title={{ECON: Explicit Clothed humans Obtained from Normals}},
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  author={Xiu, Yuliang and Yang, Jinlong and Cao, Xu and Tzionas, Dimitrios and Black, Michael J.},
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  year={2022}
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+ journal={{arXiv}:2212.07422},
 
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  }
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  Commercial licensing opportunities
README.md CHANGED
@@ -26,8 +26,8 @@
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  <a href="https://cupy.dev/"><img alt="cupy" src="https://img.shields.io/badge/-Cupy-46C02B?logo=numpy&logoColor=white"></a>
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  <a href="https://twitter.com/yuliangxiu"><img alt='Twitter' src="https://img.shields.io/twitter/follow/yuliangxiu?label=%40yuliangxiu"></a>
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  <br></br>
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- <a href=''>
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- <img src='https://img.shields.io/badge/Paper-PDF (coming soon)-green?style=for-the-badge&logo=arXiv&logoColor=green' alt='Paper PDF'>
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  </a>
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  <a href='https://xiuyuliang.cn/econ/'>
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  <img src='https://img.shields.io/badge/ECON-Page-orange?style=for-the-badge&logo=Google%20chrome&logoColor=white' alt='Project Page'></a>
@@ -44,7 +44,7 @@ ECON is designed for "Human digitization from a color image", which combines the
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  ## News :triangular_flag_on_post:
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- - [2022/12/09] <a href="#demo">Demo</a> is available.
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  ## TODO
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@@ -138,12 +138,11 @@ python -m apps.avatarizer -n {filename}
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  ## Citation
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  ```bibtex
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- @misc{xiu2022econ,
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  title={{ECON: Explicit Clothed humans Obtained from Normals}},
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  author={Xiu, Yuliang and Yang, Jinlong and Cao, Xu and Tzionas, Dimitrios and Black, Michael J.},
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  year={2022}
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- publisher={arXiv},
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- primaryClass={cs.CV}
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  }
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  ```
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@@ -177,7 +176,7 @@ This code and model are available for non-commercial scientific research purpose
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  ## Disclosure
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- MJB has received research gift funds from Adobe, Intel, Nvidia, Meta/Facebook, and Amazon. MJB has financial interests in Amazon, Datagen Technologies, and Meshcapade GmbH.
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  ## Contact
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  <a href="https://cupy.dev/"><img alt="cupy" src="https://img.shields.io/badge/-Cupy-46C02B?logo=numpy&logoColor=white"></a>
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  <a href="https://twitter.com/yuliangxiu"><img alt='Twitter' src="https://img.shields.io/twitter/follow/yuliangxiu?label=%40yuliangxiu"></a>
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  <br></br>
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+ <a href="https://arxiv.org/abs/2212.07422">
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+ <img src='https://img.shields.io/badge/Paper-PDF-green?style=for-the-badge&logo=arXiv&logoColor=green' alt='Paper PDF'>
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  </a>
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  <a href='https://xiuyuliang.cn/econ/'>
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  <img src='https://img.shields.io/badge/ECON-Page-orange?style=for-the-badge&logo=Google%20chrome&logoColor=white' alt='Project Page'></a>
 
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  ## News :triangular_flag_on_post:
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+ - [2022/12/15] Both <a href="#demo">demo</a> and <a href="https://arxiv.org/abs/2212.07422">arXiv</a> are available.
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  ## TODO
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  ## Citation
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  ```bibtex
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+ @article{xiu2022econ,
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  title={{ECON: Explicit Clothed humans Obtained from Normals}},
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  author={Xiu, Yuliang and Yang, Jinlong and Cao, Xu and Tzionas, Dimitrios and Black, Michael J.},
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  year={2022}
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+ journal={{arXiv}:2212.07422},
 
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  }
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  ```
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  ## Disclosure
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+ MJB has received research gift funds from Adobe, Intel, Nvidia, Meta/Facebook, and Amazon. MJB has financial interests in Amazon, Datagen Technologies, and Meshcapade GmbH. While MJB is a part-time employee of Meshcapade, his research was performed solely at, and funded solely by, the Max Planck Society.
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  ## Contact
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docs/installation.md CHANGED
@@ -10,6 +10,7 @@ cd ECON
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  ## Environment
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  - Ubuntu 20 / 18
 
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  - **CUDA=11.4, GPU Memory > 12GB**
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  - Python = 3.8
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  - PyTorch >= 1.13.0 (official [Get Started](https://pytorch.org/get-started/locally/))
 
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  ## Environment
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  - Ubuntu 20 / 18
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+ - GCC=7 (required by [pypoisson](https://github.com/mmolero/pypoisson/issues/13))
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  - **CUDA=11.4, GPU Memory > 12GB**
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  - Python = 3.8
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  - PyTorch >= 1.13.0 (official [Get Started](https://pytorch.org/get-started/locally/))