IRGUN : Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution
Citations
298 citations
Cites background from "IRGUN : Improved Residue Based Grad..."
...CEERI team proposed an improved residual based gradual upscaling network (IRGUN) [29]....
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...The IRGUN has a series of up-scaling and enhancement blocks (UEB) connected end-to-end and fine-tuned together to give a gradual magnification and enhancement....
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...Title:: Improved residual based gradual upscaling network(IRGUN) Members:Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury Affiliation: CSIR-CEERI, India...
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9 citations
9 citations
Cites background from "IRGUN : Improved Residue Based Grad..."
...For instance, [58, 32, 87, 33, 36, 58, 15, 1, 64, 43, 26, 16, 12, 70, 92, 40, 53, 79, 22, 57, 59, 4, 60, 78, 66] are some deep networks for super-resolution....
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References
926 citations
Additional excerpts
...Methods such as sparse convolutional network [33], recursive convolutional network [12], combined deep and shallow CNN [32], deep residual network [5, 21], bi-directional recurrent convolutional network [35], have also been proposed....
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630 citations
"IRGUN : Improved Residue Based Grad..." refers methods in this paper
...Another approach to SISR is reconstruction-based algorithm such as gradient-based constraints [26, 40], total variation regularizer [19, 20], local texture constraint [37, 39], deblurringbased models [6,8] etc....
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608 citations
527 citations
"IRGUN : Improved Residue Based Grad..." refers methods in this paper
...Another approach to SISR is reconstruction-based algorithm such as gradient-based constraints [26, 40], total variation regularizer [19, 20], local texture constraint [37, 39], deblurringbased models [6,8] etc....
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480 citations