Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency-Reference-Cited by-同舟云学术

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Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Chiang Cheng-Ming,Tseng Yu,Xu Yu-Syuan,Kuo Hsien-Kai,Tsai Yi-Min,Chen Guan-Yu,Tan Koan-Sin,Wang Wei-Ting,Lin Yu-Chieh,Roy Tseng Shou-Yao,Lin Wei-Shiang,Yu Chia-Lin,Shen B.Y.,Kao Kloze,Cheng Chia-Ming,Chen Hung-Jen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142289/9150305/09150842.pdf?arnumber=9150842

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Encoder-decoder networks with guided transmission map for effective image dehazing;The Visual Computer;2024-04-01

2. Design of a Low-Power Super-Resolution Architecture for Virtual Reality Wearable Devices;IEEE Sensors Journal;2023-04-15

3. Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report;Lecture Notes in Computer Science;2023

4. Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report;Lecture Notes in Computer Science;2023

5. Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report;Lecture Notes in Computer Science;2023

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