Single Image Reflection Separation with Perceptual Losses
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch
Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
This is the demo of image style transfer using perceptual loss.
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras
Tensorflow implementation of Justin Johnson's paper, perceptual losses for real-time style transfer and super-resolution.
Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement
Tensorflow Implementation of “Semantic Image Inpainting with Perceptual and Contextual Losses” using Deep Convolution Generative Adversarial Network https://arxiv.org/abs/1607.07539
A TensorFlow implementation of real-time style transfer based on the paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution' by Johnson et. al
🌄 Perceptual image hashing for PHP
翻译 - PHP PHP的感知图像哈希
Go Perceptual image hashing package
Speech Denoising with Deep Feature Losses
SSIMULACRA 2. Perceptual metric.
Perceptual diffing suite built on Nightmare
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Perceptual video quality assessment based on multi-method fusion.
翻译 - 基于多方法融合的感知视频质量评估。
A Python Perceptual Image Hashing Module
Perceptual Quality Estimator for speech and audio