Collection of popular and reproducible video denoising works.
Criteria: works must have codes available, and the reproducible results which demonstrate promising or state-of-the-art performances for video denoising.
This format of the collection is similar to reproducible-image-denoising
Please feel free to contribute to this repo.
- ReLD [Web] [Code] [PDF]
- Video denoising via online sparse and lowrank matrix decomposition (SSP 2016), Guo and Vaswani.
- VIDOSAT [Web] [Code] [PDF]
- VIDOSAT - High-dimensional Sparsifying Transform Learning for Online Video Restoration (TIP 2019), Wen et al.
- VBM3D [Web] [Matlab] [Python] [PDF]
- Video denoising by sparse 3D transform-domain collaborative filtering (EUSIPCO 2007), Dabov et al.
- VBM4D [Web] [Code] [PDF]
- Video Denoising, Deblocking and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms (TIP 2012), Maggioni et al.
- RNLF [Web] [Code] [PDF]
- Adaptive regularization of the NL-means: Application to image and video denoising (TIP 2014), Sutour et al.
- SALT [Web] [Code] [PDF]
- Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising (ICCV 2017), Wen et al.
- VNLB [Web] [Code] [PDF]
- Video Denoising via Empirical Bayesian Estimation of Space-Time Patches (JMIV 2017), Arias and Morel
- VNLNet [Web] [Code] [PDF]
- Non-Local Video Denoising by CNN (Arxiv 2018), Davy et al.
- FastDVDnet [Web] [Code] [PDF]
- FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation (Arxiv 2019), Tassano et al.
- LDK [Web] [Code] [PDF]
- Learning Deformable Kernels for Image and Video Denoising (Arxiv 2019), Xu et al.
- EDVR [Web] [Code] [PDF]
- Video Restoration with Enhanced Deformable Convolutional Networks (CVPRW 2019), Wang et al.
- TOF [Web] [Code] [PDF]
- Video Enhancement with Task-Oriented Flow (IJCV 2019), Xue et al.
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