perceptual-losses
There are 34 repositories under perceptual-losses topic.
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
Puzer/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
pbaylies/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
ceciliavision/perceptual-reflection-removal
Single Image Reflection Separation with Perceptual Losses
nekitmm/starnet
StarNet
xrenaa/Music-Dance-Video-Synthesis
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
peteryuX/esrgan-tf2
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
audiolabs/torch-pesq
PyTorch implementation of the Perceptual Evaluation of Speech Quality for wideband audio
Tandon-A/CycleGAN_ssim
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
Saurabh23/mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
crowsonkb/vgg_loss
A VGG-based perceptual loss function for PyTorch.
hmshan/CPCE-3D
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
orgoro/style-vae
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
guspih/Perceptual-Autoencoders
Experiments with perceptual loss and autoencoders.
banterle/NoR-VDPNet
A no-reference version of HDR-VDP using deep-learning
AgentMaker/Paddle-PerceptualSimilarity
LPIPS metric on PaddlePaddle. pip install paddle-lpips
ifnspaml/Perceptual-Weighting-Filter-Loss
A perceptual weighting filter loss for DNN training in speech enhancement
sbavon/Deep-Feature-Consistent-Variational-AutoEncoder-in-Tensorflow
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
GinZhu/RDST
Official implementation of RDST. A residual dense swin transformer for medical image super-resolution
mauriceqch/2021_pc_perceptual_loss
A deep perceptual metric for 3D point clouds
ENSTA-U2IS-AI/MR_perceptual
A Study of Deep Perceptual Metrics for Image quality Assessment
raven38/image_edit
Demos of neural image editing
matanby/fast-style-transfer-pytorch
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) 🏞
hieuGoku/De-makeup-Transfer
Generate data, PSNR, Perceptual Loss, Unet
clementw168/Neural-style-transfer
Pytorch implementation of Neural Style Transfer (NST). Reviewing litterature and implementing some ideas.
JensRahnfeld/Deep-Feature-Consistent-VAE
Pytorch Implementation of Hou, Shen, Sun, Qiu, "Deep Feature Consistent Variational Autoencoder", 2016
Gooogr/Fast_Neural_Style_Transfer
Implementation of the fast neural style transfer algorithm on Keras. Includes Jupyter notebooks, python script and web app.
richardoey/TraVeLGAN_with_perceptual_loss
The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.
HilaManor/CycleTransformer
Final assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on paired data, using a unified architecture of transformers and CNNs and enforcing cycle consistency.
shamim-hussain/4x_superresolution_cnn
Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
avbase/pHashCalc
Android librarry (kotlin) : Image (JPEG, BMP) comparison (perceptual hash algorithm)
Mascerade/fast-nst
🎨 Implementation of Fast Neural Style Transfer proposed by Justin Johnson et al. in the paper Perceptual Losses for Real-Time Style Transfer and Super-Resolution
vectornguyen76/demake-up-filter
Demake-up Filter Use Unet model, Resnet50 Pretrained
yueying-teng/super-resolution
single image super resolution