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# 3. Extract and process high-res patches patch_features = [] for (y, x) in top_k_coords: patch = self.crop_patch(x_highres, y, x, patch_size=512) p_feat = self.highres_net(patch) patch_features.append(p_feat)

The rain in Sector 4 didn’t fall; it corrupted. It came down in jagged, glitching static that stuck to Elias’s coat like bad data packets. patchdrivenet

A Patch-Driven Network is a type of neural network that focuses on processing images in a patch-based manner. Unlike traditional convolutional neural networks (CNNs) that process entire images at once, PDNs divide the input image into smaller patches and process each patch independently. This approach allows the network to capture local patterns and features within the image, which can be particularly useful for tasks such as image denoising, deblurring, and super-resolution. A Patch-Driven Network is a type of neural