Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (+175.24%)
Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
Stars: ✭ 222 (+111.43%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-16.19%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (+92.38%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-80%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-62.86%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-68.57%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-54.29%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+2393.33%)
Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Stars: ✭ 417 (+297.14%)
RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Stars: ✭ 213 (+102.86%)
Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
Stars: ✭ 754 (+618.1%)
Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (-60%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-28.57%)
SpecganSpecGAN - generate audio with adversarial training
Stars: ✭ 92 (-12.38%)
IloOfficial implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Stars: ✭ 71 (-32.38%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-33.33%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-7.62%)
DmtDisentangled Makeup Transfer with Generative Adversarial Network
Stars: ✭ 90 (-14.29%)
Celebamask HqA large-scale face dataset for face parsing, recognition, generation and editing.
Stars: ✭ 1,156 (+1000.95%)
Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Stars: ✭ 67 (-36.19%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-17.14%)
SketchtofacePix2Pix Image translation using conditional generative adversarial network - sketch to face
Stars: ✭ 66 (-37.14%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+969.52%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (-27.62%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-12.38%)
Pytorch FidCompute FID scores with PyTorch.
Stars: ✭ 1,175 (+1019.05%)
Scn matlabMatlab reimplementation of SCNSR
Stars: ✭ 70 (-33.33%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-35.24%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+8247.62%)
Dna GanDNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Stars: ✭ 65 (-38.1%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+1065.71%)
DeliganThis project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Stars: ✭ 103 (-1.9%)
Esrgan Tf2ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Stars: ✭ 61 (-41.9%)
Vsr Duf ReimplementIt is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Stars: ✭ 101 (-3.81%)
TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (-7.62%)
PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
Stars: ✭ 83 (-20.95%)
VideosuperresolutionA collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Stars: ✭ 1,118 (+964.76%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (-41.9%)
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Stars: ✭ 84 (-20%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-43.81%)
HyperganComposable GAN framework with api and user interface
Stars: ✭ 1,104 (+951.43%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-7.62%)
Tac GanA Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
Stars: ✭ 82 (-21.9%)
AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Stars: ✭ 1,095 (+942.86%)
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-45.71%)
Tensorflow EspcnTensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
Stars: ✭ 49 (-53.33%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-5.71%)
PorousmediaganReconstruction of three-dimensional porous media using generative adversarial neural networks
Stars: ✭ 94 (-10.48%)
AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (-23.81%)