Search Results for author: Shi Guo

Found 16 papers, 10 papers with code

UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion

no code implementations20 Jan 2025 Zixuan Chen, Yujin Wang, Xin Cai, Zhiyuan You, Zheming Lu, Fan Zhang, Shi Guo, Tianfan Xue

In this work, we propose UltraFusion, the first exposure fusion technique that can merge input with 9 stops differences.

Tone Mapping

Event-assisted 12-stop HDR Imaging of Dynamic Scene

no code implementations19 Dec 2024 Shi Guo, Zixuan Chen, Ziran Zhang, Yutian Chen, Gangwei Xu, Tianfan Xue

High dynamic range (HDR) imaging is a crucial task in computational photography, which captures details across diverse lighting conditions.

From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization

no code implementations12 Jun 2024 Ziran Zhang, Yongrui Ma, Yueting Chen, Feng Zhang, Jinwei Gu, Tianfan Xue, Shi Guo

This approach utilizes the internal statistics of a sequence to handle degraded event data under low-light conditions, improving the generalizability to different lighting and camera settings.

Motion Generation Video Enhancement +1

Event-Based Motion Magnification

1 code implementation19 Feb 2024 Yutian Chen, Shi Guo, Fangzheng Yu, Feng Zhang, Jinwei Gu, Tianfan Xue

In this work, we propose a dual-camera system consisting of an event camera and a conventional RGB camera for video motion magnification, providing temporally-dense information from the event stream and spatially-dense data from the RGB images.

Benchmarking Motion Detection +1

Toward Accurate and Temporally Consistent Video Restoration from Raw Data

1 code implementation25 Dec 2023 Shi Guo, jianqi ma, Xi Yang, Zhengqiang Zhang, Lei Zhang

Extensive experiments demonstrate the leading VJDD performance of our method in term of restoration accuracy, perceptual quality and temporal consistency.

Demosaicking Denoising +2

TMP: Temporal Motion Propagation for Online Video Super-Resolution

1 code implementation15 Dec 2023 Zhengqiang Zhang, Ruihuang Li, Shi Guo, Yang Cao, Lei Zhang

Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and efficient alignment very challenging.

Video Super-Resolution

Spatial-Frequency Attention for Image Denoising

no code implementations27 Feb 2023 Shi Guo, Hongwei Yong, Xindong Zhang, jianqi ma, Lei Zhang

In this paper, we propose the spatial-frequency attention network (SFANet) to enhance the network's ability in exploiting long-range dependency.

Image Denoising

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 +1

Text Prior Guided Scene Text Image Super-resolution

2 code implementations29 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

HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset

1 code implementation ICCV 2021 GuanYing Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong, Lei Zhang

Secondly, we conduct more sophisticated alignment and temporal fusion in the feature space of the coarse HDR video to produce better reconstruction.

HDR Reconstruction Optical Flow Estimation +1

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 +1

Toward Convolutional Blind Denoising of Real Photographs

3 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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