Towards Lighter and Faster
Author:
Affiliation:
1. Sun Yat-Sen University, Guangzhou, China
2. Sun Yat-Sen University & Guangdong Key Laboratory of Intelligent Information Processing, Guangzhou, China
Funder
the National Natural Science Foundation of China
Key-Area Research and Development Program of Guangdong Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413664
Reference40 articles.
1. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
2. Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. (2012). Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. (2012).
3. Joint-attention Discriminator for Accurate Super-resolution via Adversarial Training
4. Learning a Deep Convolutional Network for Image Super-Resolution
5. Accelerating the Super-Resolution Convolutional Neural Network
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