Search Results for author: Shi Guo

Found 9 papers, 7 papers with code

A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

1 code implementation17 Mar 2022 Shi Guo, Xi Yang, jianqi ma, Gaofeng Ren, Lei Zhang

Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.

Demosaicking Denoising +1

Efficient Long-Range Attention Network for Image Super-resolution

1 code implementation13 Mar 2022 Xindong Zhang, Hui Zeng, Shi Guo, Lei Zhang

A highly efficient long-range attention block (ELAB) is then built by simply cascading two shift-conv with a GMSA module, which is further accelerated by using a shared attention mechanism.

Image Super-Resolution

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

1 code implementation15 Dec 2021 Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang

Though deep learning-based object detection methods have achieved promising results on the conventional datasets, it is still challenging to locate objects from the low-quality images captured in adverse weather conditions.

Image Enhancement Object Detection

Text Prior Guided Scene Text Image Super-resolution

1 code implementation29 Jun 2021 jianqi ma, Shi Guo, Lei Zhang

Our experiments on the benchmark TextZoom dataset show that TPGSR can not only effectively improve the visual quality of scene text images, but also significantly improve the text recognition accuracy over existing STISR methods.

Image Super-Resolution

Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

1 code implementation25 Jan 2021 Shi Guo, Zhetong Liang, Lei Zhang

Considering the fact that the green channel has twice the sampling rate and better quality than the red and blue channels in CFA raw data, we propose to use this green channel prior (GCP) to build a GCP-Net for the JDD-B task.

Demosaicking Denoising

Toward Convolutional Blind Denoising of Real Photographs

2 code implementations CVPR 2019 Shi Guo, Zifei Yan, Kai Zhang, WangMeng Zuo, Lei Zhang

While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on real-world noisy photographs.

Image Denoising Noise Estimation

Learning Dynamic Guidance for Depth Image Enhancement

no code implementations CVPR 2017 Shuhang Gu, WangMeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang

To address these limitations, we propose a weighted analysis representation model for guided depth image enhancement, which advances the conventional methods in two aspects: (i) task driven learning and (ii) dynamic guidance.

Depth Image Upsampling Image Enhancement +1

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