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20222024
most citedAIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

16 citations · 32 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024★ 1 cited

Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement

Wenbin Zou, Hongxia Gao, Weipeng Yang +1

Ultra-high-definition (UHD) technology has attracted widespread attention due to its exceptional visual quality, but it also poses new challenges for low-light image enhancement (L…

cs.CV2024★ 3 cited

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li +109

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…

cs.CV2023★ 1 cited

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye +5

Night photography often struggles with challenges like low light and blurring, stemming from dark environments and prolonged exposures. Current methods either disregard priors and…

cs.CV2023

Cross-View Hierarchy Network for Stereo Image Super-Resolution

Wenbin Zou, Hongxia Gao, Liang Chen +4

Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. To attain superior performance…

cs.CV2022★ 11 cited

Prior-Guided One-shot Neural Architecture Search

Peijie Dong, Xin Niu, Lujun Li +5

Neural architecture search methods seek optimal candidates with efficient weight-sharing supernet training. However, recent studies indicate poor ranking consistency about the perf…

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…