Dual Stage Semantic Information Based Generative Adversarial Network For Image Super-Resolution✱
Author:
Affiliation:
1. Thapar Institute of Engineering and technology, India
2. Indian Institute of Technology Ropar, India
3. Oxford Brookes University, UK
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3627631.3627646
Reference48 articles.
1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
2. Pablo Arbelaez, Charless Fowlkes, and David Martin. 2007. The Berkeley segmentation dataset and benchmark. see http://www. eecs. berkeley. edu/Research/Projects/CS/vision/bsds (2007).
3. Video super-resolution using controlled subpixel detector shifts
4. Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. (2012).
5. Sean Borman and Robert L Stevenson. 1998. Super-resolution from image sequences-a review. In 1998 Midwest Symposium on Circuits and Systems (Cat. No. 98CB36268). IEEE, 374–378.
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