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20212026
most citedSpatially Adaptive Self-Supervised Learning for Real-World Image Denoising

4 citations · 12 across the 14 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 2 cited

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

Zhilu Zhang, Haoyu Wang, Shuai Liu +3

Merging multi-exposure images is a common approach for obtaining high dynamic range (HDR) images, with the primary challenge being the avoidance of ghosting artifacts in dynamic sc…

cs.CV2023

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

Xiaoyu Liu, Ming Liu, Junyi Li +4

For improving image composition and aesthetic quality, most existing methods modulate the captured images by striking out redundant content near the image borders. However, such im…

cs.CV2023★ 2 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…

cs.CV2023

Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive

Wei Shang, Dongwei Ren, Chaoyu Feng +3

Modern consumer cameras usually employ the rolling shutter (RS) mechanism, where images are captured by scanning scenes row-by-row, yielding RS distortions for dynamic scenes. To c…

cs.CV2023★ 4 cited

Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising

Junyi Li, Zhilu Zhang, Xiaoyu Liu +4

Significant progress has been made in self-supervised image denoising (SSID) in the recent few years. However, most methods focus on dealing with spatially independent noise, and t…