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LICENSE.txt

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+Copyright (c) 2024 Gilles Van De Vyver
+Based on work by Huawei Technologies Co., Ltd.
+Licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International) (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
+
+The code is released for academic research use only. For commercial use, please contact Huawei Technologies Co., Ltd.
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+
+Original project: guided-diffusion by Dhariwal and Nichol (OpenAI), available at https://github.com/openai/guided-diffusion, licensed under the MIT License.
+Modifications were made in the RePaint project by Lugmayr et al. (Huawei Technologies Co., Ltd.), available at https://github.com/andreas128/RePaint, licensed under CC BY-NC-SA 4.0.
+This project, EchoGAINS, by Van De Vyver et al. (Norwegian University of Science and Technology), is a modification of RePaint and is licensed under CC BY-NC-SA 4.0.
+
+If you use this work, please cite the original authors and the current authors.
+
+
+Dhariwal, Prafulla, and Alexander Nichol. "Diffusion models beat gans on image synthesis." Advances in neural information processing systems 34 (2021): 8780-8794.
+
+Lugmayr, Andreas, et al. "Repaint: Inpainting using denoising diffusion probabilistic models." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022.