Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
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Transgan[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
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Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
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Wavegan PytorchPyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"
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Lightning BoltsToolbox of models, callbacks, and datasets for AI/ML researchers.
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Keras GanKeras implementations of Generative Adversarial Networks.
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Anonymize VideoReplace faces in a video with imaginary persons generated by a progressive GAN deep neural network
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Pix2pixImage-to-image translation with conditional adversarial nets
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ConganContinious Generative Adversarial Network
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Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
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Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
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Sequentialdata GanTensorflow Implementation of GAN modeling for sequential data
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Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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Vc With GanVoice Conversion with GANs
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ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
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Nag[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
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GandlfGenerative Adversarial Networks in Keras
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Began TensorflowTensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
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Esrgan Tf2ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
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Generative ModelsCollection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
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Deblurgan TfUnofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
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Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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ColorizerAdd colors to black and white images with neural networks (GANs).
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TpudcganTrain DCGAN with TPUs on Google Cloud
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HyperganComposable GAN framework with api and user interface
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Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Stars: ✭ 961 (+1198.65%)
Pytorch FidCompute FID scores with PyTorch.
Stars: ✭ 1,175 (+1487.84%)
Deepnude nowatermark withmodelDeepNude source code,without watermark,with demo and model download link,one command to run offline,GAN/Pytorch/pix2pix/pic2pic
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Keras DcganKeras implementation of Deep Convolutional Generative Adversarial Networks
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Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
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Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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St CganDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
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Gan VisVisualization of GAN training process
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Inverse Style GanLooking up a generative latent vectors from (face) reference images.
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Cyclegan Vc3Voice Conversion by CycleGAN (语音克隆/语音转换):CycleGAN-VC3
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UnsupntsUnsupervised Neural Text Simplification
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Csmri RefinementCode for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
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Xdf GanA GAN for the generation of mock astronomical surveys
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GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
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TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
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MuseganAn AI for Music Generation
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CycleganPyTorch implementation of CycleGAN
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Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
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ImagedeblurringA Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-5.41%)