Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Stars: ✭ 123 (+925%)
Mutual labels: generative-adversarial-network, generative-model
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+2208.33%)
Mutual labels: generative-adversarial-network, generative-model
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (+1033.33%)
Mutual labels: generative-adversarial-network, generative-model
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (+708.33%)
Mutual labels: generative-adversarial-network, generative-model
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (+1591.67%)
Mutual labels: generative-adversarial-network, generative-model
SpectralnormalizationkerasSpectral Normalization for Keras Dense and Convolution Layers
Stars: ✭ 100 (+733.33%)
Mutual labels: generative-adversarial-network, generative-model
Conditional GanAnime Generation
Stars: ✭ 141 (+1075%)
Mutual labels: generative-adversarial-network, generative-model
CadganICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Stars: ✭ 19 (+58.33%)
Mutual labels: generative-adversarial-network, generative-model
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (+1558.33%)
Mutual labels: generative-adversarial-network, generative-model
DraganA stable algorithm for GAN training
Stars: ✭ 189 (+1475%)
Mutual labels: generative-adversarial-network, generative-model
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (+533.33%)
Mutual labels: generative-adversarial-network, generative-model
SganStacked Generative Adversarial Networks
Stars: ✭ 240 (+1900%)
Mutual labels: generative-adversarial-network, generative-model
Conditional AnimeganConditional GAN for Anime face generation.
Stars: ✭ 70 (+483.33%)
Mutual labels: generative-adversarial-network, generative-model
Generative Evaluation PrdcCode base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Stars: ✭ 117 (+875%)
Mutual labels: generative-adversarial-network, generative-model
Mnist inception scoreTraining a MNIST classifier, and use it to compute inception score (ICP)
Stars: ✭ 25 (+108.33%)
Mutual labels: generative-adversarial-network, generative-model
Semantic image inpaintingSemantic Image Inpainting
Stars: ✭ 140 (+1066.67%)
Mutual labels: generative-adversarial-network, generative-model
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+26383.33%)
Mutual labels: generative-adversarial-network, generative-model
SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (+4083.33%)
Mutual labels: generative-adversarial-network, generative-model
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+22033.33%)
Mutual labels: generative-adversarial-network, generative-model
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+1800%)
Mutual labels: generative-adversarial-network, generative-model
