CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+2496.91%)
Delving Deep Into GansGenerative Adversarial Networks (GANs) resources sorted by citations
Stars: ✭ 834 (+98.1%)
MixnmatchPytorch implementation of MixNMatch
Stars: ✭ 694 (+64.85%)
AttentionganAttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Stars: ✭ 341 (-19%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-12.83%)
3d Sdn[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
Stars: ✭ 256 (-39.19%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-67.7%)
CoCosNet-v2CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Stars: ✭ 312 (-25.89%)
stylegan-v[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Stars: ✭ 136 (-67.7%)
Text To Image SynthesisPytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Stars: ✭ 288 (-31.59%)
TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
Stars: ✭ 1,156 (+174.58%)
Ylg[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
Stars: ✭ 109 (-74.11%)
Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Stars: ✭ 63 (-85.04%)
cfg-ganCFG-GAN: Composite functional gradient learning of generative adversarial models
Stars: ✭ 15 (-96.44%)
Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (+62%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+95.25%)
GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
Stars: ✭ 122 (-71.02%)
IcfaceICface: Interpretable and Controllable Face Reenactment Using GANs
Stars: ✭ 122 (-71.02%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (-42.99%)
Fq GanOfficial implementation of FQ-GAN
Stars: ✭ 137 (-67.46%)
AODAOfficial implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)
Stars: ✭ 44 (-89.55%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-13.06%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-67.22%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+285.51%)
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (+8.79%)
OASISOfficial implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Stars: ✭ 232 (-44.89%)
Pytorch GansMy implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Stars: ✭ 271 (-35.63%)
Img2imgganImplementation of the paper : "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 49 (-88.36%)
generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Stars: ✭ 24 (-94.3%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-14.49%)
Deepnude An Image To Image TechnologyDeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Stars: ✭ 4,029 (+857.01%)
Mcan VqaDeep Modular Co-Attention Networks for Visual Question Answering
Stars: ✭ 273 (-35.15%)
Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
Stars: ✭ 339 (-19.48%)
Fewshot gan Unet3dTensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Stars: ✭ 272 (-35.39%)
Abd Net[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
Stars: ✭ 272 (-35.39%)
SnappyPHP library allowing thumbnail, snapshot or PDF generation from a url or a html page. Wrapper for wkhtmltopdf/wkhtmltoimage
Stars: ✭ 3,986 (+846.79%)
FreezegFreezing generator for pseudo image translation
Stars: ✭ 328 (-22.09%)
Encoder decoderFour styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Stars: ✭ 269 (-36.1%)
AttentionwalkA PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Stars: ✭ 266 (-36.82%)
Transformer TensorflowTensorFlow implementation of 'Attention Is All You Need (2017. 6)'
Stars: ✭ 319 (-24.23%)
AbcnnImplementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
Stars: ✭ 264 (-37.29%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (-8.08%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-25.65%)
Inpainting gmcnnImage Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Stars: ✭ 256 (-39.19%)
few-shot-gan-adaptation[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence
Stars: ✭ 198 (-52.97%)
Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (-3.09%)