There are 1 repository under spectral-normalization topic.
Spectral Normalization for Keras Dense and Convolution Layers
An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
🌈 Spectral Normalization implemented as Tensorflow 2
Reimplementation of the Paper: Large Scale GAN Training for High Fidelity Natural Image Synthesis
Generating super-resolution images using GANs
Image colorization with generative adversarial networks on the CIFAR10 dataset.
Code for the paper "Mean Spectral Normalization"
Blind Deblurring using improvements on different GAN models
GANs: Losses, Regularizations and Normalizations
Spectral Normalization for Generative Adversarial Networks
In this repository, we deal with the task of implementing Generative Adversarial Networks (GANs) using the CIFAR-10 dataset. Two popular GANs: DCGAN and SAGAN are implemented. The performance of the network is evaluated using the FID score.
Implementation of GAN papers on Keras and Tensorflow 2.0
Unofficial PyTorch Implementation of Spectral Normalization for Generative Adversarial Networks (SNGAN) with specialization in Anime faces generation
Implementation of InfoGAN using PyTorch lightning
A template repository for GANs
A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization
This 'Generative Adversarial Network' project was implemented in grad course CSE-676 : Deep Learning [Fall 2019 @UB_SUNY] Course Instructor : Sargur N. Srihari(https://cedar.buffalo.edu/~srihari/)
Spectrally Normalized GAN trained on Flowers102 dataset
Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey
Incremental implementation of GAN and DCGAN using PyTorch for MNIST dataset
Solving a deep learning challenge using different types of GAN
Python package for spectral analyses, looking at sampling rate conversion, spectral rescaling and peak detection.
An unofficial implementation of sigma reparam [Zhai et al. 2023]
Gradually building generative adversarial networks
The BigGAN implementation on Simpsons dataset with tensorflow framework.