z-bingo/awesome-image-denoising-state-of-the-art From Bin Zhang
At this stage, we mainly collect advanced video denoising algorithms, and everyone can pull requests or remind me of updates if you visit the latest work.
Yers/Moth | Title | Publication | Open Source | Remarks |
---|---|---|---|---|
2019 | DVDnet: A Fast Network for Deep Video Denoising | 2019 IEEE International Conference on Image Processing (ICIP) | project | |
2020 | Video Denoising by Combining Patch Search and CNNs | Journal of Mathematical Imaging and Vision | ||
2020 | Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising | IEEE Transactions on Image Processing | ||
8/2019 | TOFlow: Video Enhancement with Task-Oriented Flow | International Journal of Computer Vision | ||
2021 | MMFnet: Multiframe-to-Multiframe Network for Video Denoising | IEEE Trans. Multimedia/IEEE Transactions on Multimedia | ||
6/2019 | EDVR: Video Restoration With Enhanced Deformable Convolutional Networks | 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | ||
7/2022 | FloRNN: Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones | ECCV | ||
2/2022 | MANet: Improving Video Denoising with a Multi-Alignment Network | ICIP'2022 | ||
10/2021 | Patch Craft: Video Denoising by Deep Modeling and Patch Matching | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | ||
1/2020 | FITVNet: First image then video: A two-stage network for spatiotemporal video denoising | arXiv:2001.00346 | ||
9/2019 | DVDnet: A Fast Network for Deep Video Denoising | 2019 IEEE International Conference on Image Processing (ICIP) | ||
6/2021 | EMVD: Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | ||
9/2019 | A Non-Local CNN for Video Denoising | 2019 IEEE International Conference on Image Processing (ICIP) | ||
6/2020 | FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | ||
6/2019 | ViDeNN: Deep Blind Video Denoising | 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | ||
10/2021 | UDVD: Unsupervised Deep Video Denoising | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | ||
12/2022 | Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network | arXiv:2207.01356 | ||
6/2020 | Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | ||
1/2021 | Self-supervised training for blind multi-frame video denoising | 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) | ||
6/22 | ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising | Proceedings of the AAAI Conference on Artificial Intelligence | ||
7/2016 | Recursive non-local means filter for video denoising with Poisson-Gaussian noise | 2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS) | ||
10/2018 | Real- Time Video Denoising on Mobile Phones | 2018 25th IEEE International Conference on Image Processing (ICIP) | ||
7/2019 | Non-Local Video Denoising by CNN | 2019 IEEE International Conference on Image Processing (ICIP) | ||
6/2019 | Model-Blind Video Denoising via Frame-To-Frame Training | 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | ||
9/2017 | Meshflow video denoising | 2017 IEEE International Conference on Image Processing (ICIP) | ||
4/2015 | Learning Deformable Kernels for Image and Video Denoising | arXiv:1904.06903 |
Yers/Moth | Title | Publication | Open Source | Remarks |
---|---|---|---|---|
2022 | Low-light Raw Video Denoising with a High-quality Realistic Motion Dataset | TMM2022 | Not uploaded | |
2022 | Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network | arxiv | local pdf | Not uploaded |
Possible additions:
- Video deblurring
- Video rain removal
- Video demisting