Upload ckpt & readme
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- LICENSE +37 -0
- README.md +132 -3
- assets/96F32G.png +3 -0
- assets/96F32G_curve.png +0 -0
- assets/allF-1G.png +3 -0
- assets/allF-1G_curve.png +0 -0
- assets/architecture.png +3 -0
- assets/performance.png +3 -0
- licenses/LICENSE-DCVC.txt +21 -0
- models/nevc1.0_inter.pth.tar +3 -0
- models/nevc1.0_intra.pth.tar +3 -0
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LICENSE
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// Copyright 2025 ByteDance Ltd. and/or its affiliates.
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// All rights reserved.
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// Licensed under the BSD 3-Clause Clear License (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// https://choosealicense.com/licenses/bsd-3-clause-clear/
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted (subject to the limitations in the disclaimer
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// below) provided that the following conditions are met:
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of ByteDance Ltd. and/or its affiliates Communications, Inc nor the names of its
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// contributors may be used to endorse or promote products derived from this
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// software without specific prior written permission.
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// NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
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// THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
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// CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT
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// NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
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// PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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// OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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// WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
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// OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
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// ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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README.md
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<!-- Copyright 2025 ByteDance Ltd. and/or its affiliates.
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All rights reserved.
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Licensed under the BSD 3-Clause Clear License (the "License");
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you may not use this file except in compliance with the License.
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+
You may obtain a copy of the License at
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https://choosealicense.com/licenses/bsd-3-clause-clear/
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+
Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+
See the License for the specific language governing permissions and
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limitations under the License.
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+
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Redistribution and use in source and binary forms, with or without
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modification, are permitted (subject to the limitations in the disclaimer
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below) provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name of ByteDance Ltd. and/or its affiliates nor the names of its
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contributors may be used to endorse or promote products derived from this
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software without specific prior written permission.
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+
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NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
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| 27 |
+
THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
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CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT
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| 29 |
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NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
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| 30 |
+
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
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+
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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+
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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+
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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+
WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
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| 36 |
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OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
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ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -->
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<div align="center">
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# **NEVC-1.0** <br>(EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding)
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<div align="center">
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<img src="./assets/performance.png" alt="Performance comparison" width="60%" style="max-width: 100%;" height="auto">
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</div>
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</div>
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<div align="left">
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## 📝 Introduction
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This repository provides the pretrained model weights for **NEVC-1.0**, which integrates contributions from **EHVC (Efficient Hierarchical Reference and Quality Structure for Neural Video Coding)** — one of the core components of the framework.
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**EHVC** introduces a hierarchical reference and quality structure that significantly improves both compression efficiency and rate–distortion performance.
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The corresponding code repository can be found here: [NEVC-1.0-EHVC](https://github.com/bytedance/NEVC).
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Key designs of **EHVC** include:
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- **Hierarchical multi-reference:** Resolves reference–quality mismatches using a hierarchical reference structure and a multi-reference scheme, optimized for low-delay configurations.
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- **Lookahead mechanism:** Enhances encoder-side context by leveraging forward features, thereby improving prediction accuracy and compression.
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- **Layer-wise quantization scale with random quality training:** Provides a flexible and efficient quality structure that adapts during training, resulting in improved encoding performance.
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---
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## 🔧 Models
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EHVC uses two models: the intra model and the inter model.
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- The **intra model** handles intra-frame coding.
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- The **inter model** is responsible for inter-frame (predictive) coding.
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### Intra Model
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The main contributions of NEVC-1.0 focus on inter coding.
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For intra coding, we directly adopt the pretrained model **`cvpr2023_image_psnr.pth.tar`** from [DCVC-DC](https://github.com/microsoft/DCVC/blob/main/DCVC-family/DCVC-DC/checkpoints/download.py), without further training.
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### Inter Model
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The inter model of NEVC-1.0 is provided at **`/models/nevc1.0_inter.pth.tar`**.
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The architecture of the inter model is illustrated below:
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<div align="center">
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<img src="./assets/architecture.png" alt="Inter model architecture" width="50%" style="max-width: 100%;" height="auto">
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</div>
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---
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## 📊 Experimental Results
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### Objective Comparison
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<div align="center">
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**BD-Rate (%) comparison for PSNR**
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Anchor: VTM-23.4 LDB.
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All codecs tested with 96 frames and intra-period = 32.
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<img src="./assets/96F32G.png" alt="BD-Rate 96F32G" width="50%" style="max-width: 100%;" height="auto">
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**Rate–Distortion curves** on HEVC B, HEVC C, UVG, and MCL-JCV datasets.
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Tested with 96 frames and intra-period = 32.
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<img src="./assets/96F32G_curve.png" alt="RD curves 96F32G" width="80%" style="max-width: 100%;" height="auto">
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**BD-Rate (%) comparison for PSNR**
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Anchor: VTM-23.4 LDB.
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All codecs tested with full sequences and intra-period = -1.
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<img src="./assets/allF-1G.png" alt="BD-Rate allF-1G" width="50%" style="max-width: 100%;" height="auto">
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**Rate–Distortion curves** on HEVC B, HEVC C, UVG, and MCL-JCV datasets.
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Tested with full sequences and intra-period = -1.
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<img src="./assets/allF-1G_curve.png" alt="RD curves allF-1G" width="80%" style="max-width: 100%;" height="auto">
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</div>
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---
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## 📜 Citation
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If you find **NEVC-1.0** useful in your research or projects, please cite the following paper:
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- **EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding**
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Junqi Liao, Yaojun Wu, Chaoyi Lin, Zhipin Deng, Li Li, Dong Liu, Xiaoyan Sun.
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*Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025).*
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```bibtex
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@inproceedings{liao2025ehvc,
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title={EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding},
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author={Liao, Junqi and Wu, Yaojun and Lin, Chaoyi and Deng, Zhipin and Li, Li and Liu, Dong and Sun, Xiaoyan},
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booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
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year={2025}
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}
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```
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---
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## 🙌 Acknowledgement
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The intra model of this project is based on [DCVC-DC](https://github.com/microsoft/DCVC/blob/main/DCVC-family/DCVC-DC/checkpoints/download.py).
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assets/96F32G.png
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Git LFS Details
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assets/96F32G_curve.png
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assets/allF-1G.png
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Git LFS Details
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assets/allF-1G_curve.png
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assets/architecture.png
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Git LFS Details
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assets/performance.png
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Git LFS Details
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licenses/LICENSE-DCVC.txt
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Copyright (c) Microsoft Corporation.
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MIT License
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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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
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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models/nevc1.0_inter.pth.tar
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size 81926714
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