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Most SRGAN implementations use PyTorch or TensorFlow/TensorLayer .

A convolutional neural network trained to distinguish between "real" high-resolution images and those "faked" by the generator. srganzo1.rar

Combined loss involving Content Loss (based on feature maps from a pre-trained VGG19 model) and Adversarial Loss . 3. Implementation Details srganzo1.rar

Run a script like test.py or main.py on your own low-resolution images to generate enhanced versions. 5. Conclusion & Future Work srganzo1.rar