frechet-inception-distance

There are 23 repositories under frechet-inception-distance topic.

  • torch-fidelity

    toshas/torch-fidelity

    High-fidelity performance metrics for generative models in PyTorch

    Language:Python90173459
  • GaParmar/clean-fid

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

    Language:Python88494866
  • w86763777/pytorch-image-generation-metrics

    Pytorch implementation of common image generation metrics.

    Language:Python1385216
  • lzhbrian/metrics

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

    Language:Python1165424
  • bramtoula/vdna

    Pytorch implementation of Visual DNA, an approach to represent and compare images.

    Language:Python32112
  • songweige/content-debiased-fvd

    [CVPR 2024] On the Content Bias in Fréchet Video Distance

    Language:Python32200
  • matthias-wright/jax-fid

    FID computation in Jax/Flax.

    Language:Python21315
  • jleinonen/keras-fid

    Frechet Inception Distance for Keras-based GANs

    Language:Python18218
  • 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.

    Language:Python10210
  • 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

    Language:Jupyter Notebook10105
  • kozistr/gan-metrics

    Lots of evaluation metrics for the generative adversarial networks in pytorch

    Language:Python8422
  • CXR-ACGAN-chest-xray-generator-covid19-pneumonia

    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.

    Language:Python6202
  • KimRass/DDPM

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

    Language:Python6200
  • mckellwoodland/fid-med-eval

    Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

    Language:Python5310
  • 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

    Language:Python5200
  • evenmn/pytorch-sfid

    Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels

    Language:Python3301
  • 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

    Language:Jupyter Notebook2101
  • nirmal-25/Text-to-Image-GAN

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

    Language:Python2101
  • 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/)

    Language:Jupyter Notebook1301
  • 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.

    Language:Python1200
  • TzeLun/DeepMelSpectrogramGenerator

    The mel spectrogram generator using conditional WGAN-GP. For the mel spectrogram inverter, look up HiFi-GAN

    Language:Python1100
  • vrai-group/guided-infant-generation

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

    Language:Python1800
  • shreshtashetty/CycleGANPhototoMonet

    Converting photos into Monet style paintings using CycleGANs with Differentiable Augmentation.

    Language:Jupyter Notebook0100