QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms-Reference-Cited by-同舟云学术

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QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Berger Guillaume¹,Dhingra Manik¹,Mercier Antoine¹,Savani Yashesh¹,Panchal Sunny¹,Porikli Fatih¹

Affiliation:

1. Qualcomm AI Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208618.pdf?arnumber=10208618

Reference42 articles.

1. Anchor-based Plain Net for Mobile Image Super-Resolution

2. Rob Bishop, Daniel Rueckert, and Zehan Wang. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network;shi;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

3. RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling

4. Image superresolution via iterative refinement;saharia,2021

Cited by 3 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. SRARDA: A lightweight adaptive residual dense attention generative adversarial network for image super-resolution;Optik;2024-11

2. Fast On-Device Learning Framework for Single-Image Super-Resolution;IEEE Access;2024

3. Efficient neural supersampling on a novel gaming dataset;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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