LPIPS metric. pip install lpips
Single Image Reflection Separation with Perceptual Losses
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
PyTorch implementation of the Perceptual Evaluation of Speech Quality for wideband audio
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cycleGAN with different loss functions to improve visual quality of produced images
A VGG-based perceptual loss function for PyTorch.
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
Experiments with perceptual loss and autoencoders.
A no-reference version of HDR-VDP using deep-learning
LPIPS metric on PaddlePaddle. pip install paddle-lpips
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
Official implementation of RDST. A residual dense swin transformer for medical image super-resolution
A Study of Deep Perceptual Metrics for Image quality Assessment
Demos of neural image editing
A simple and minimalistic implementation of the fast neural style transfer method presented in "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" by Johnson et. al. (2016) 🏞
Pytorch implementation of Neural Style Transfer (NST). Reviewing litterature and implementing some ideas.
Pytorch Implementation of Hou, Shen, Sun, Qiu, "Deep Feature Consistent Variational Autoencoder", 2016
Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
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