overlordOfficial pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Stars: ✭ 35 (+75%)
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
Stars: ✭ 88 (+340%)
EGSC-ITTensorflow implementation of ICLR2019 paper "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency"
Stars: ✭ 29 (+45%)
UNITEUnbalanced Feature Transport for Exemplar-based Image Translation [CVPR 2021] and Marginal Contrastive Correspondence for Guided Image Generation [CVPR 2022]
Stars: ✭ 183 (+815%)
Dunit(CVPR 2020) DUNIT: Detection-Based Unsupervised Image-to-Image Translation
Stars: ✭ 24 (+20%)
Pix2PixImage to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Stars: ✭ 29 (+45%)
chainer-pix2pixChainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
Stars: ✭ 40 (+100%)
awesome-ganA collection of AWESOME things about GAN
Stars: ✭ 42 (+110%)
cycleGAN-PyTorchA clean and lucid implementation of cycleGAN using PyTorch
Stars: ✭ 107 (+435%)
CoCosNet-v2CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Stars: ✭ 312 (+1460%)
SMITPytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT), ICCV Workshops 2019.
Stars: ✭ 37 (+85%)
disent🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
Stars: ✭ 41 (+105%)
CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
Stars: ✭ 18 (-10%)
linguistic-style-transfer-pytorchImplementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Stars: ✭ 55 (+175%)
synpgCode for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".
Stars: ✭ 30 (+50%)
DisContCode for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".
Stars: ✭ 13 (-35%)
concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Stars: ✭ 41 (+105%)