no code implementations • 13 Oct 2023 • Hansen Feng, Lizhi Wang, Yiqi Huang, Yuzhi Wang, Hua Huang
However, the quality of synthetic data is inherently limited by the low accuracy of the noise model, which decreases the performance of low-light raw image denoising.
no code implementations • 7 Jul 2023 • Kepeng Xu, Gang He, Li Xu, Xingchao Yang, Ming Sun, Yuzhi Wang, Zijia Ma, Haoqiang Fan, Xing Wen
Recently, the transformation of standard dynamic range TV (SDRTV) to high dynamic range TV (HDRTV) is in high demand due to the scarcity of HDRTV content.
no code implementations • ICCV 2023 • Chengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang, Xueming Qian
In this paper, we introduce a new perspective to handle various diffraction in UDC images by jointly exploring the feature restoration in the frequency and spatial domains, and present a Frequency and Spatial Interactive Learning Network (FSI).
1 code implementation • 13 Jul 2022 • Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang
Low-light raw denoising is an important and valuable task in computational photography where learning-based methods trained with paired real data are mainstream.
Ranked #1 on
Image Denoising
on SID SonyA7S2 x100
1 code implementation • 8 Jun 2022 • Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, WangMeng Zuo
In particular, we take well-trained CBDNet, NBNet, HINet, Uformer and GMSNet into denoiser pool, and a U-Net is adopted to predict pixel-wise weighting maps to fuse these denoisers.
3 code implementations • CVPR 2021 • Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu
Subsequently, image denosing can be achieved by selecting corresponding basis of the signal subspace and projecting the input into such space.
Ranked #1 on
Image Denoising
on SIDD
(SSIM (sRGB) metric)
1 code implementation • ECCV 2020 • Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang
Deep learning-based image denoising approaches have been extensively studied in recent years, prevailing in many public benchmark datasets.
1 code implementation • 29 Apr 2019 • Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising.
no code implementations • 22 Jun 2017 • Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou
Overall, our method improves the prediction accuracies of QNNs without introducing extra computation during inference, has negligible impact on training speed, and is applicable to both Convolutional Neural Networks and Recurrent Neural Networks.
no code implementations • 16 Jun 2017 • Yuzhi Wang, Anqi Yang, Xiaoming Chen, Pengjun Wang, Yu Wang, Huazhong Yang
Temporal drift of sensory data is a severe problem impacting the data quality of wireless sensor networks (WSNs).
31 code implementations • CVPR 2017 • Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
Previous approaches for scene text detection have already achieved promising performances across various benchmarks.
Ranked #3 on
Scene Text Detection
on COCO-Text
Curved Text Detection
Optical Character Recognition (OCR)
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