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Conditional Image Generation On Cifar 10

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Paper TitleRepository
ADC-GAN5.6640.45Conditional GANs with Auxiliary Discriminative Classifier-
Projection Discriminator17.5-cGANs with Projection Discriminator-
DLSM2.25-Denoising Likelihood Score Matching for Conditional Score-based Data Generation-
FQ-GAN5.34-Feature Quantization Improves GAN Training-
StyleGAN2-ADA2.42-Training Generative Adversarial Networks with Limited Data-
MIX-MHingeGAN3.6-Lessons Learned from the Training of GANs on Artificial Datasets-
Improved GAN--Improved Techniques for Training GANs-
WGAN-GP--Improved Training of Wasserstein GANs-
StyleGAN2 + DiffAugment + D2D-CE2.26-Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training-
DCGAN--Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks-
SGAN--Stacked Generative Adversarial Networks-
aw-BigGAN6.89-Adaptive Weighted Discriminator for Training Generative Adversarial Networks-
ContraGAN10.30-ContraGAN: Contrastive Learning for Conditional Image Generation-
aw-SN-GAN8.03-Adaptive Weighted Discriminator for Training Generative Adversarial Networks-
EGAN-Ent-VI--Calibrating Energy-based Generative Adversarial Networks-
CR-BigGAN11.67-Consistency Regularization for Generative Adversarial Networks-
SteinGAN--Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning-
Splitting GAN--Class-Splitting Generative Adversarial Networks-
ProdPoly no activation functions36.77-Deep Polynomial Neural Networks-
BigGAN14.73-Large Scale GAN Training for High Fidelity Natural Image Synthesis-
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Conditional Image Generation On Cifar 10 | SOTA | HyperAI