🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"

PyTorch Implementation for Paper "Toward Multimodal Image-to-Image Translation"

Predicting gradient (of perceptual loss) without doing a backward pass

Shiu, Jia-Yin's Master Thesis Project: A super-resolution framework for license plate recognition based on deep learning

Synthetic CT generation from NAC PET for PET/MR reconstrunction and attenuation correction

Implement a Generative Adversarial Network which is able to frontalize faces from the pose invariant features learned in our proposed pose attention guided profile to frontal network for extreme profile faces

Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.