Topic: perceptual-losses Goto Github
Some thing interesting about perceptual-losses
Some thing interesting about perceptual-losses
perceptual-losses,LPIPS metric on PaddlePaddle. pip install paddle-lpips
Organization: agentmaker
Home Page: https://github.com/AgentMaker/Paddle-PerceptualSimilarity
perceptual-losses,PyTorch implementation of the Perceptual Evaluation of Speech Quality for wideband audio
Organization: audiolabs
perceptual-losses,Android librarry (kotlin) : Image (JPEG, BMP) comparison (perceptual hash algorithm)
User: avbase
perceptual-losses,This project features an automatic image colorization model utilizing a U-Net architecture combined with perceptual loss for enhanced colorization quality.
User: ayush-singh677
perceptual-losses,A no-reference version of HDR-VDP using deep-learning
User: banterle
perceptual-losses,Single Image Reflection Separation with Perceptual Losses
User: ceciliavision
perceptual-losses,Pytorch implementation of Neural Style Transfer (NST). Reviewing litterature and implementing some ideas.
User: clementw168
perceptual-losses,A VGG-based perceptual loss function for PyTorch.
User: crowsonkb
perceptual-losses,A Study of Deep Perceptual Metrics for Image quality Assessment
Organization: ensta-u2is-ai
perceptual-losses,Official implementation of RDST. A residual dense swin transformer for medical image super-resolution
User: ginzhu
Home Page: https://arxiv.org/abs/2302.11184
perceptual-losses,Implementation of the fast neural style transfer algorithm on Keras. Includes Jupyter notebooks, python script and web app.
User: gooogr
perceptual-losses,Experiments with perceptual loss and autoencoders.
User: guspih
perceptual-losses,Generate data, PSNR, Perceptual Loss, Unet
User: hieugoku
perceptual-losses,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.
User: hilamanor
perceptual-losses,This is a very simplified ipynb code for KupynOrest's Deblur GAN code. DeblurGAN addresses the challenge of end-to-end image deblurring through the use of conditional Generative Adversarial Networks (cGANs).I have used pytorch for this implementation.
User: himanii777
Home Page: https://arxiv.org/abs/1711.07064
perceptual-losses,Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
User: hmshan
perceptual-losses,A perceptual weighting filter loss for DNN training in speech enhancement
Organization: ifnspaml
perceptual-losses,Pytorch Implementation of Hou, Shen, Sun, Qiu, "Deep Feature Consistent Variational Autoencoder", 2016
User: jensrahnfeld
Home Page: https://arxiv.org/abs/1610.00291
perceptual-losses,🎨 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
User: mascerade
perceptual-losses,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) 🏞
User: matanby
perceptual-losses,A deep perceptual metric for 3D point clouds
User: mauriceqch
perceptual-losses,StarNet
User: nekitmm
perceptual-losses,Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
User: orgoro
perceptual-losses,ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
User: peteryux
perceptual-losses,Demos of neural image editing
User: raven38
perceptual-losses,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.
User: richardoey
perceptual-losses,LPIPS metric. pip install lpips
User: richzhang
Home Page: https://richzhang.github.io/PerceptualSimilarity
perceptual-losses,Generative Adversarial Network for single image super-resolution in high content screening microscopy images
User: saurabh23
perceptual-losses,implement Deep Feature Consisten Variational Autoencoder in Tensorflow
User: sbavon
perceptual-losses,Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
User: shamim-hussain
perceptual-losses,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
User: tandon-a
perceptual-losses,Demake-up Filter Use Unet model, Resnet50 Pretrained
User: vectornguyen76
perceptual-losses,[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
User: xrenaa
perceptual-losses,single image super resolution
User: yueying-teng
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