ViDeNN: Deep Blind Video Denoising

24 April 2019

Papers citing "ViDeNN: Deep Blind Video Denoising"

12 / 12 papers shown

Title
Recurrent Self-Supervised Video Denoising with Denser Receptive Field Zichun Wang Yulun Zhang Debing Zhang Ying Fu 42 8 0 07 Aug 2023
Gated Recurrent Unit for Video Denoising Kai Guo Seungwon Choi Jongseong Choi 27 0 0 17 Oct 2022
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising Ruizhou Liu Qiang Ma Zhi-Qi Cheng Y. Lyu Jianji Wang S. Kevin Zhou 33 1 0 30 Aug 2022
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer Wu Yun Mengshi Qi Chuanming Wang Huiyuan Fu Huadong Ma ViT 13 6 0 30 Apr 2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? Valéry Dewil Aranud Barral Gabriele Facciolo Pablo Arias 35 5 0 25 Apr 2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones Junyi Li Xiaohe Wu Zhenxing Niu W. Zuo 20 19 0 12 Apr 2022
Dancing under the stars: video denoising in starlight Kristina Monakhova Stephan R. Richter Laura Waller V. Koltun VGen 27 49 0 08 Apr 2022
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution Z. Geng Luming Liang Tianyu Ding Ilya Zharkov 29 69 0 27 Mar 2022
Frequency Domain Loss Function for Deep Exposure Correction of Dark Images Ojasvi Yadav Koustav Ghosal Sebastian Lutz A. Smolic 39 7 0 22 Apr 2021
Contextual colorization and denoising for low-light ultra high resolution sequences Nantheera Anantrasirichai David Bull DiffM 26 17 0 05 Jan 2021
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes Huanjing Yue Cong Cao Lei Liao Ronghe Chu Jingyu Yang 32 121 0 31 Mar 2020
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 190 1,165 0 04 May 2018