Search Results for author: Yuzhi Wang

Found 11 papers, 6 papers with code

Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising

no code implementations13 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.

Image Denoising

Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network

no code implementations7 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.

FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras

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).

Image Restoration

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling

1 code implementation13 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.

Image Denoising

Robust Deep Ensemble Method for Real-world Image Denoising

1 code implementation8 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.

Deblurring Image Deblurring +4

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

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)

Image Denoising SSIM

Practical Deep Raw Image Denoising on Mobile Devices

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.

Efficient Neural Network Image Denoising

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

no code implementations22 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.


A Deep Learning Approach for Blind Drift Calibration of Sensor Networks

no code implementations16 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).

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