Compute FID scores with PyTorch.

High-fidelity performance metrics for generative models in PyTorch

Pytorch implementation of common image generation metrics.

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

CPU/GPU/TPU implementation of the Inception Score

An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

Inception score for measuring quality of images generating from GAN

Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

Lots of evaluation metrics for the generative adversarial networks in pytorch

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

Metrics to evaluate GAN

PyTorch implementation of 'DDPM' (Ho et al., 2020) and training it on CelebA 64×64

Pytorch implementation of popular generative models

Implementation of GAN-based text-to-image models for a comparative study on the CUB and COCO datasets

GAN-based framework to generate depth images of infants from a desired image and pose