frechet-inception-distance
There are 25 repositories under frechet-inception-distance topic.
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
GaParmar/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
w86763777/pytorch-image-generation-metrics
Pytorch implementation of common image generation metrics.
lzhbrian/metrics
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
songweige/content-debiased-fvd
[CVPR 2024] On the Content Bias in Fréchet Video Distance
bramtoula/vdna
Pytorch implementation of Visual DNA, an approach to represent and compare images.
matthias-wright/jax-fid
FID computation in Jax/Flax.
jleinonen/keras-fid
Frechet Inception Distance for Keras-based GANs
shantanu1109/Coursera-DeepLearning.AI-GANs-Specialization
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
mckellwoodland/fid-med-eval
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
ChenLiu-1996/GAN-evaluator
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.
kozistr/gan-metrics
Lots of evaluation metrics for the generative adversarial networks in pytorch
giocoal/CXR-ACGAN-chest-xray-generator-covid19-pneumonia
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.
KimRass/DDPM
PyTorch implementation of 'DDPM' (Ho et al., 2020) and training it on CelebA 64×64
evenmn/pytorch-sfid
Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels
talcron/frame-prediction-pytorch
PyTorch implementation of WGAN-GP-based video generation. Includes functionality for measuring Frechet Video Distance and implementing recent research improvements of WGAN-GP. Read paper at https://github.com/talcron/frame-prediction-pytorch/blob/media/paper.pdf
jajokine/CycleGAN-with-Claude-Monet-Paintings
Capturing the special characteristics of Claude Monet's paintings in order to turn ordinary pictures into similar style paintings
Jonah-gr/FID-Evaluator
The FID-Evaluator is a tool to analyze how the FID behaves when the embedding space is reduced.
nirmal-25/Text-to-Image-GAN
Implementation of GAN-based text-to-image models for a comparative study on the CUB and COCO datasets
Escapist-007/GAN
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/)
Russolves/Generative-Adversarial-Network-Pizzas-
A generative adversarial network engineered that utilizes a discriminator and a generator. The GAN can be trained using a Binary Cross Entropy Loss or a Wasserstein Distance Loss to generate replicate images based on input data.
TzeLun/DeepMelSpectrogramGenerator
The mel spectrogram generator using conditional WGAN-GP. For the mel spectrogram inverter, look up HiFi-GAN
vrai-group/guided-infant-generation
GAN-based framework to generate depth images of infants from a desired image and pose
shreshtashetty/CycleGANPhototoMonet
Converting photos into Monet style paintings using CycleGANs with Differentiable Augmentation.
sathya-ml/fsmetric
Code used for the publication "A Quantitative Evaluation Framework of Video De-Identification Methods".