Generative inpaintingDeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Stars: ✭ 2,659 (+2613.27%)
Mutual labels: generative-adversarial-network, image-inpainting
Edge ConnectEdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Stars: ✭ 2,163 (+2107.14%)
Mutual labels: generative-adversarial-network, image-inpainting
Wasserstein2GenerativeNetworksPyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Stars: ✭ 38 (-61.22%)
Mutual labels: generative-adversarial-network
csganTask-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
Stars: ✭ 25 (-74.49%)
Mutual labels: generative-adversarial-network
Music-generation-cRNN-GANcRNN-GAN to generate music by training on instrumental music (midi)
Stars: ✭ 38 (-61.22%)
Mutual labels: generative-adversarial-network
adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Stars: ✭ 110 (+12.24%)
Mutual labels: generative-adversarial-network
deep-learning-roadmapmy own deep learning mastery roadmap
Stars: ✭ 40 (-59.18%)
Mutual labels: generative-adversarial-network
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
Stars: ✭ 21 (-78.57%)
Mutual labels: generative-adversarial-network
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
Stars: ✭ 88 (-10.2%)
Mutual labels: generative-adversarial-network
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (-57.14%)
Mutual labels: generative-adversarial-network
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Stars: ✭ 40 (-59.18%)
Mutual labels: generative-adversarial-network
AdversarialBinaryCoding4ReIDCodes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
Stars: ✭ 12 (-87.76%)
Mutual labels: generative-adversarial-network
tiny-pix2pixRedesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
Stars: ✭ 21 (-78.57%)
Mutual labels: generative-adversarial-network
gan-vae-pretrained-pytorchPretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Stars: ✭ 134 (+36.73%)
Mutual labels: generative-adversarial-network
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-74.49%)
Mutual labels: generative-adversarial-network
Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
Stars: ✭ 19 (-80.61%)
Mutual labels: generative-adversarial-network
CharacterGANCharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
Stars: ✭ 172 (+75.51%)
Mutual labels: generative-adversarial-network
ArtGANTensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
Stars: ✭ 16 (-83.67%)
Mutual labels: generative-adversarial-network
face inpaintingNo description or website provided.
Stars: ✭ 27 (-72.45%)
Mutual labels: generative-adversarial-network