perceptual-losses

LPIPS metric. pip install lpips

Single Image Reflection Separation with Perceptual Losses

StarNet

[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.

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

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

A perceptual weighting filter loss for DNN training in speech enhancement

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 deep perceptual metric for 3D point clouds

Demos of neural image editing

A Study of Deep Perceptual Metrics for Image quality Assessment