Popular GitHub Repositories for Fid

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Measures and metrics for image2image tasks. PyTorch.

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Pytorch implementation of common image generation metrics.

New flexible and efficient image generation framework that sets new SOTA on FFHQ-256 with FID 2.05, 2022

Benchmark for generative image models

A toolkit for computing Fréchet Inception Distance (FID) & Fréchet Video Distance (FVD) metrics.

FID computation in Jax/Flax.

metrics for generative models (fid, inception)

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.

Calculating Fréchet inception distance and other metrics with PyTorch.

This project implements a Text to Image Generator using a Conditional Generative Adversarial Network (GAN) for synthesizing floorplan images from textual descriptions. It includes features such as custom dataset handling, performance metrics like FID and IS, and configurable training options for optimization.

Implementation of PGD attack on a model trained on cifar10 dataset in TensorFlow. Also, FID between original images and generated images has been calculated.

Pytorch implementation of popular generative models

A implementation of StyleGAN and evaluation over a simple class generation using FID score.

PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.