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20212023
most citedDeep Constrained Least Squares for Blind Image Super-Resolution

8 citations · 13 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.IV2022

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Andrey Ignatov, Radu Timofte, Maurizio Denna +93

Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…

eess.IV2022★ 1 cited

Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution

Ziwei Luo, Youwei Li, Lei Yu +4

Deep learning-based single image super-resolution (SISR) approaches have drawn much attention and achieved remarkable success on modern advanced GPUs. However, most state-of-the-ar…

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.CV2022

BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment

Ziwei Luo, Youwei Li, Shen Cheng +6

This work addresses the Burst Super-Resolution (BurstSR) task using a new architecture, which requires restoring a high-quality image from a sequence of noisy, misaligned, and low-…

eess.IV2022★ 8 cited

Deep Constrained Least Squares for Blind Image Super-Resolution

Ziwei Luo, Haibin Huang, Lei Yu +3

In this paper, we tackle the problem of blind image super-resolution(SR) with a reformulated degradation model and two novel modules. Following the common practices of blind SR, ou…