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Jun 7, 2022 · Artificial Intelligence

How to Implement SRCNN for Image Super‑Resolution in PyTorch

This article walks through a complete PyTorch implementation of the SRCNN model for image super‑resolution, covering dataset preparation, patch extraction, model architecture, training on a GTX 770 GPU for 2500 epochs, PSNR evaluation, and visual comparisons with bicubic up‑sampling.

PSNRPatchifyPyTorch
0 likes · 22 min read
How to Implement SRCNN for Image Super‑Resolution in PyTorch
Code DAO
Code DAO
May 31, 2022 · Artificial Intelligence

How Deep Convolutional Networks Boost Image Super-Resolution: A Paper Review

This article reviews the seminal SRCNN paper, detailing its contributions, architecture, training pipeline, hyper‑parameters, and extensive experiments that show how a shallow fully‑convolutional network achieves superior PSNR and runtime compared to traditional sparse‑coding and bicubic methods.

CNNDeep LearningPSNR
0 likes · 12 min read
How Deep Convolutional Networks Boost Image Super-Resolution: A Paper Review