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20212023
most citedLearnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling

34 citations · 66 across the 6 of their papers we have counts for

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cs.CV2023

Recurrent Spike-based Image Restoration under General Illumination

Lin Zhu, Yunlong Zheng, Mengyue Geng +2

Spike camera is a new type of bio-inspired vision sensor that records light intensity in the form of a spike array with high temporal resolution (20,000 Hz). This new paradigm of v…

cs.CV2023★ 32 cited

Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

Tong Li, Hansen Feng, Lizhi Wang +2

Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding. Current methods either struggle with…

cs.CV2022★ 34 cited

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling

Hansen Feng, Lizhi Wang, Yuzhi Wang +1

Low-light raw denoising is an important and valuable task in computational photography where learning-based methods trained with paired real data are mainstream. However, the limit…

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

cs.CV2021

Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution

Yuanfei Huang, Jie Li, Yanting Hu +2

Being extremely dependent on iterative estimation of the degradation prior or optimization of the model from scratch, the existing blind super-resolution (SR) methods are generally…