CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+3106.16%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+141.06%)
Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Stars: ✭ 63 (-81.52%)
CoCosNet-v2CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Stars: ✭ 312 (-8.5%)
Fq GanOfficial implementation of FQ-GAN
Stars: ✭ 137 (-59.82%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (+7.33%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-60.12%)
Img2imgganImplementation of the paper : "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 49 (-85.63%)
BicycleGAN-pytorchPytorch implementation of BicycleGAN with implementation details
Stars: ✭ 99 (-70.97%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (+13.49%)
Text To Image SynthesisPytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Stars: ✭ 288 (-15.54%)
CycleganPyTorch implementation of CycleGAN
Stars: ✭ 38 (-88.86%)
day2nightImage2Image Translation Research
Stars: ✭ 46 (-86.51%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+7.62%)
GansformerGenerative Adversarial Transformers
Stars: ✭ 421 (+23.46%)
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-19.06%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+63.64%)
Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (+100%)
Gan Compression[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Stars: ✭ 800 (+134.6%)
Delving Deep Into GansGenerative Adversarial Networks (GANs) resources sorted by citations
Stars: ✭ 834 (+144.57%)
IcfaceICface: Interpretable and Controllable Face Reenactment Using GANs
Stars: ✭ 122 (-64.22%)
GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
Stars: ✭ 122 (-64.22%)
CocosnetCross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Stars: ✭ 211 (-38.12%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-93.84%)
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
Stars: ✭ 88 (-74.19%)
SMITPytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT), ICCV Workshops 2019.
Stars: ✭ 37 (-89.15%)
Cyclegan TensorflowTensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
Stars: ✭ 676 (+98.24%)
AdversarialnetspapersAwesome paper list with code about generative adversarial nets
Stars: ✭ 6,219 (+1723.75%)
cycleGAN-PyTorchA clean and lucid implementation of cycleGAN using PyTorch
Stars: ✭ 107 (-68.62%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (-29.62%)
Pix2depthDEPRECATED: Depth Map Estimation from Monocular Images
Stars: ✭ 293 (-14.08%)
PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
Stars: ✭ 4,987 (+1362.46%)
Von[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Stars: ✭ 497 (+45.75%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-71.55%)
GansGenerative Adversarial Networks implemented in PyTorch and Tensorflow
Stars: ✭ 714 (+109.38%)
MixnmatchPytorch implementation of MixNMatch
Stars: ✭ 694 (+103.52%)
ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
Stars: ✭ 17 (-95.01%)
AODAOfficial implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)
Stars: ✭ 44 (-87.1%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (-59.24%)
automatic-manga-colorizationUse keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
Stars: ✭ 20 (-94.13%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+375.95%)
TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (-91.79%)
Pytorch-Image-Translation-GANsPytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.
Stars: ✭ 106 (-68.91%)
nijiGeneric 2D graphics library for C++14
Stars: ✭ 26 (-92.38%)
few-shot-gan-adaptation[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence
Stars: ✭ 198 (-41.94%)
StandardgeometryshaderAn example of a geometry shader with Unity's standard lighting model support.
Stars: ✭ 303 (-11.14%)
Point Cloud UtilsA Python library for common tasks on 3D point clouds
Stars: ✭ 281 (-17.6%)
traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Stars: ✭ 130 (-61.88%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-86.51%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+808.8%)
clip-guided-diffusionA CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
Stars: ✭ 260 (-23.75%)
AsymmetricGAN[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Stars: ✭ 42 (-87.68%)
Three Mesh BvhA BVH implementation to speed up raycasting against three.js meshes.
Stars: ✭ 302 (-11.44%)