Search Results for author: Huaida Liu

Found 5 papers, 3 papers with code

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain

no code implementations CVPR 2024 Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen

However, these methods exhibit a pervasive enhancement bias towards the compression domain, inadvertently regarding it as more realistic than the raw domain.

Lightweight network towards real-time image denoising on mobile devices

no code implementations9 Nov 2022 Zhuoqun Liu, Meiguang Jin, Ying Chen, Huaida Liu, Canqian Yang, Hongkai Xiong

In this paper, we identify the real bottlenecks that affect the CNN-based models' run-time performance on mobile devices: memory access cost and NPU-incompatible operations, and build the model based on these.

Image Denoising

SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

1 code implementation18 Jul 2022 Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu

Image-adaptive lookup tables (LUTs) have achieved great success in real-time image enhancement tasks due to their high efficiency for modeling color transforms.

Ranked #5 on Image Enhancement on MIT-Adobe 5k (PSNR on proRGB metric)

Computational Efficiency Image Enhancement +1

Progressive Training of A Two-Stage Framework for Video Restoration

2 code implementations21 Apr 2022 Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen

As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts.

Transfer Learning Video Restoration +2

Cannot find the paper you are looking for? You can Submit a new open access paper.