RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling
Author:
Affiliation:
1. Samsung Austin Research Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857374.pdf?arnumber=9857374
Reference33 articles.
1. Adaptive deconvolutional networks for mid and high level feature learning
2. Deep Learning for Single Image Super-Resolution: A Brief Review
3. Deep Learning for Image Super-Resolution: A Survey
4. A Fully Progressive Approach to Single-Image Super-Resolution
5. Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
Cited by 4 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. Toward Accurate Post-Training Quantization for Image Super Resolution;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
2. QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
3. TAKDSR: Teacher Assistant Knowledge Distillation Framework for Graphics Image Super-Resolution;IEEE Access;2023
4. A Comparison of Neural Network-Based Super-Resolution Models on 3D Rendered Images;Computer Analysis of Images and Patterns;2023
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