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LPIPS metric. pip install lpips
deep-neural-networks deep-learning pytorch perceptual-losses perceptual perceptual-metric perceptual-similarity
StyleGAN Encoder - converts real images to latent space
StyleGAN Encoder - converts real images to latent space
deep-neural-networks deep-learning generative-adversarial-network gan neural-networks perceptual-losses loss-functions resnet-50
Single Image Reflection Separation with Perceptual Losses
StarNet
deep-neural-networks deep-learning neural-network astronomy tensorflow image-processing astro gan image-manipulation star perceptual-losses transformation gans pix2pix starnet starless-images star-removal
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
deep-learning multimedia paper music-video pytorch dataset dance perceptual-losses demo-video skeletons video-generation pretrain-model
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
computer-vision deep-learning tensorflow computer-graphics generative-adversarial-network gan image-manipulation image-generation perceptual-losses image-translation cyclegan image-to-image-translation perceptual-similarity ssim-loss
A VGG-based perceptual loss function for PyTorch.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
computer-vision deep-learning image-reconstruction gan image-generation convolutional-neural-networks perceptual-losses super-resolution generative-adversarial-networks vgg19 srgan microscopy-images high-content-screening
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
deep-learning generative-adversarial-network transfer-learning perceptual-losses computed-tomography denoising
A no-reference version of HDR-VDP using deep-learning
machine-learning deep-neural-networks convolutional-neural-networks perceptual-losses hdr hdr-image tone-mapping hdr-video hdr-compression hdr-generation hdr-imaging perceptual-similarity inverse-tone-mapping perceptual-metrics
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
Experiments with perceptual loss and autoencoders.
neural-network image-processing autoencoder perceptual-losses perceptual-similarity perceptual-autoencoders
A perceptual weighting filter loss for DNN training in speech enhancement
LPIPS metric on PaddlePaddle. pip install paddle-lpips
deep-neural-networks deep-learning perceptual-losses paddle paddlepaddle perceptual-metric perceptual-similarity
Official implementation of RDST. A residual dense swin transformer for medical image super-resolution
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
deep-learning generative-model vae perceptual-losses variational-autoencoder generative-models variational-autoencoders dfc-vae
A deep perceptual metric for 3D point clouds
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