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Author: m990130

LICENSE.txt

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+MIT License
+
+Copyright (c) 2025 Johannes Schusterbauer
+
+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:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+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.

README.md

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+<p align="center">
+ <h2 align="center">SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models</h2>
+ <p align="center"> 
+    Pingchuan Ma<sup>*</sup> · Xiaopei Yang<sup>*</sup> · Yusong Li · Ming Gui 
+ </p><p align="center"> 
+    Felix Krause · Johannes Schusterbauer · Björn Ommer
+ </p>
+ <p align="center"> 
+    <b>CompVis Group @ LMU Munich</b> 
+ </p>
+ <p align="center"> 
+    <b> Munich Center for Machine Learning (MCML)</b>
+ </p>
+ <p align="center"> <sup>*</sup> <i>equal contribution</i> </p>
+ 
+<p align="center"><strong>📄 ICCV 2025</strong></p>
+  
+</p>
+
+[![Website](docs/static/figures/badge-website.svg)](https://compvis.github.io/SCFlow/)
+![Cover](docs/static/images/teaser.jpg)