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The Software is made available for academic or non-commercial purposes only. | ||
The license is for a copy of the program for an unlimited term. Individuals | ||
requesting a license for commercial use must pay for a commercial license. Baker! | ||
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DISCLAIMER. USC MAKES NO EXPRESS OR IMPLIED WARRANTIES, EITHER IN FACT OR BY | ||
OPERATION OF LAW, BY STATUTE OR OTHERWISE, AND USC SPECIFICALLY AND EXPRESSLY | ||
DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A | ||
PARTICULAR PURPOSE, VALIDITY OF THE SOFTWARE OR ANY OTHER INTELLECTUAL PROPERTY | ||
RIGHTS OR NON-INFRINGEMENT OF THE INTELLECTUAL PROPERTY OR OTHER RIGHTS OF ANY | ||
THIRD PARTY. SOFTWARE IS MADE AVAILABLE AS-IS. | ||
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LIMITATION OF LIABILITY. TO THE MAXIMUM EXTENT PERMITTED BY LAW, IN NO EVENT | ||
WILL USC BE LIABLE TO ANY USER OF THIS CODE FOR ANY INCIDENTAL, CONSEQUENTIAL, | ||
EXEMPLARY OR PUNITIVE DAMAGES OF ANY KIND, LOST GOODWILL, LOST PROFITS, LOST | ||
BUSINESS AND/OR ANY INDIRECT ECONOMIC DAMAGES WHATSOEVER, REGARDLESS OF WHETHER | ||
SUCH DAMAGES ARISE FROM CLAIMS BASED UPON CONTRACT, NEGLIGENCE, TORT (INCLUDING | ||
STRICT LIABILITY OR OTHER LEGAL THEORY), A BREACH OF ANY WARRANTY OR TERM OF | ||
THIS AGREEMENT, AND REGARDLESS OF WHETHER USC WAS ADVISED OR HAD REASON TO KNOW | ||
OF THE POSSIBILITY OF INCURRING SUCH DAMAGES IN ADVANCE. | ||
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For commercial queries, please contact: | ||
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Hao Li | ||
Email: [email protected] ccto: [email protected] | ||
MIT License | ||
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Copyright (c) 2019 Shunsuke Saito, Zeng Huang, and Ryota Natsume | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. | ||
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anyabagomo | ||
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# PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization | ||
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News: | ||
* \[2020/02/26\] License is updated to MIT license! Enjoy! | ||
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This repository contains a pytorch implementation of "[PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization](https://arxiv.org/abs/1905.05172)". | ||
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[Project Page](https://shunsukesaito.github.io/PIFu/) | ||
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} | ||
``` | ||
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This codebase provides: | ||
- test code | ||
- training code | ||
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- freeglut (use `sudo apt-get install freeglut3-dev` for ubuntu users) | ||
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## Demo | ||
Warning: The released model is trained with mostly upright standing scans with weak perspectie projection and the pitch angle of 0 degree. Reconstruction quality may degrade for images highly deviated from trainining data. | ||
1. run the following script to download the pretrained models from the following link and copy them under `./PIFu/checkpoints/`. | ||
``` | ||
sh ./scripts/download_trained_model.sh | ||
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``` | ||
python -m apps.train_color --dataroot {path_to_training_data} --num_sample_inout 0 --num_sample_color 5000 --sigma 0.1 --random_flip --random_scale --random_trans | ||
``` | ||
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For commercial queries, please contact: | ||
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Hao Li: [email protected] ccto: [email protected] Baker!! |