Conditional Image Generation On Cifar 10

Métriques

FID

Intra-FID

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	FID	Intra-FID	Paper Title	Repository
ADC-GAN	5.66	40.45	Conditional GANs with Auxiliary Discriminative Classifier
Projection Discriminator	17.5	-	cGANs with Projection Discriminator
DLSM	2.25	-	Denoising Likelihood Score Matching for Conditional Score-based Data Generation
FQ-GAN	5.34	-	Feature Quantization Improves GAN Training
StyleGAN2-ADA	2.42	-	Training Generative Adversarial Networks with Limited Data
MIX-MHingeGAN	3.6	-	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-CE	2.26	-	Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
DCGAN	-	-	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
SGAN	-	-	Stacked Generative Adversarial Networks
aw-BigGAN	6.89	-	Adaptive Weighted Discriminator for Training Generative Adversarial Networks
ContraGAN	10.30	-	ContraGAN: Contrastive Learning for Conditional Image Generation
aw-SN-GAN	8.03	-	Adaptive Weighted Discriminator for Training Generative Adversarial Networks
EGAN-Ent-VI	-	-	Calibrating Energy-based Generative Adversarial Networks
CR-BigGAN	11.67	-	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 functions	36.77	-	Deep Polynomial Neural Networks
BigGAN	14.73	-	Large Scale GAN Training for High Fidelity Natural Image Synthesis

0 of 25 row(s) selected.