Multiscale convolutional neural networks for in-loop video restoration

Author:

Misra Kiran1,Segall Andrew1,Choi Byeongdoo1

Affiliation:

1. Amazon Prime Video 2021, 7th Ave,Seattle,WA,USA,98121

Publisher

IEEE

Reference15 articles.

1. Deep In-loop filter with fixed point implementation, document JVETAA0111, 27th JVET Meeting;li,2023

2. Neural network based in-loop filter with a single model;wang;JVET 27th Meeting document JVET-AA0023,2023

3. Content-adaptive post-filter with SADL inference and signalling of NN post-filter characteristics and activation SEI messages;santamaria;document JVETAB0048 28th JVET Meeting,2023

4. Summary of Exploration Experiments on Neural Network-based video coding;alshina;document JVET-AB0023 28th JVET Meeting,2023

5. Overview of technologies considered in JVET's neural network-based video coding exploration;segall;document JVET-Y0239 25th JVET Meeting,2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Residual Block Fusion in Low Complexity Neural Network-Based In-loop Filtering for Video Compression;2024 Data Compression Conference (DCC);2024-03-19

2. Reduced Complexity Multiscale CNN for in-Loop Video Restoration;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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