activity
20192022
most citedLocally Adaptive Structure and Texture Similarity for Image Quality Assessment

51 citations · 97 across the 7 of their papers we have counts for

collaborators

6 papers

cs.CV2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Ren Yang, Radu Timofte, Meisong Zheng +75

This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…

eess.IV202222 cited

Flow-Guided Sparse Transformer for Video Deblurring

Jing Lin, Yuanhao Cai, Xiaowan Hu +7

Exploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring. However, CNN-based methods show limitations in capturing long-range…

eess.IV202151 cited

Locally Adaptive Structure and Texture Similarity for Image Quality Assessment

Keyan Ding, Yi Liu, Xueyi Zou +2

The latest advances in full-reference image quality assessment (IQA) involve unifying structure and texture similarity based on deep representations. The resulting Deep Image Struc…

cs.CV20211 cited

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

Goutam Bhat, Martin Danelljan, Radu Timofte +25

This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times hig…

cs.CV202020 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

eess.IV20193 cited

Unsupervised Image Super-Resolution with an Indirect Supervised Path

Zhen Han, Enyan Dai, Xu Jia +5

The task of single image super-resolution (SISR) aims at reconstructing a high-resolution (HR) image from a low-resolution (LR) image. Although significant progress has been made b…