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20142023
most citedOn Efficient Transformer-Based Image Pre-training for Low-Level Vision

26 citations · 45 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV20235 cited

Low-Light Image Enhancement via Structure Modeling and Guidance

Xiaogang Xu, Ruixing Wang, Jiangbo Lu

This paper proposes a new framework for low-light image enhancement by simultaneously conducting the appearance as well as structure modeling. It employs the structural feature to…

cs.CV2023

NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

Kun Zhou, Wenbo Li, Yi Wang +4

Neural radiance fields (NeRF) show great success in novel view synthesis. However, in real-world scenes, recovering high-quality details from the source images is still challenging…

cs.CV2023

CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame

Yujing Lou, Zelin Ye, Yang You +5

Various recent methods attempt to implement rotation-invariant 3D deep learning by replacing the input coordinates of points with relative distances and angles. Due to the incomple…

cs.CV20231 cited

Edge Preserving Implicit Surface Representation of Point Clouds

Xiaogang Wang, Yuhang Cheng, Liang Wang +3

Learning implicit surface directly from raw data recently has become a very attractive representation method for 3D reconstruction tasks due to its excellent performance. However,…

cs.CV2022

Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network

Xiaogang Xu, Yitong Yu, Nianjuan Jiang +3

To facilitate video denoising research, we construct a compelling dataset, namely, "Practical Video Denoising Dataset" (PVDD), containing 200 noisy-clean dynamic video pairs in bot…

cs.CV202126 cited

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Wenbo Li, Xin Lu, Shengju Qian +3

Pre-training has marked numerous state of the arts in high-level computer vision, while few attempts have ever been made to investigate how pre-training acts in image processing sy…