Image Generation On Stl 10

Métriques

FID

Inception score

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title	Repository
QSNGAN	59.611	4.987	Quaternion Generative Adversarial Networks
PeerGAN	51.37	-	DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training	-
ProbGAN	46.74	8.87	ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees	-
DC-VAE	41.9	8.1	Dual Contradistinctive Generative Autoencoder	-
SN-GAN	40.1	9.10	Spectral Normalization for Generative Adversarial Networks
Improving MMD GAN	37.63	9.34	Improving MMD-GAN Training with Repulsive Loss Function
Dist-GAN	36.19	-	Dist-GAN: An Improved GAN using Distance Constraints
aw-SN-GAN	34.72	9.61	Adaptive Weighted Discriminator for Training Generative Adversarial Networks
AutoGAN	31.01	9.16	AutoGAN: Neural Architecture Search for Generative Adversarial Networks
DEGAS	28.76	9.71	DEGAS: Differentiable Efficient Generator Search	-
aw-AutoGAN	26.32	9.59	Adaptive Weighted Discriminator for Training Generative Adversarial Networks
E2GAN	25.35	9.51	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
EAGAN (G)	23.34	10.02	EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
SNGAN-DCD (Pixel)	22.25	9.25	Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
EAGAN (G+D)	22.18	10.44	EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
PGMGAN	19.52	11.16	Partition-Guided GANs
TransGAN	18.28	10.43	TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
SNGAN-DCD (Latent)	17.68	9.33	Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Styleformer	15.17	11.01	Styleformer: Transformer based Generative Adversarial Networks with Style Vector
MMD-AdversarialNAS (Compressed Small)	14.84	11.66	Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition	-

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Image Generation On Stl 10

Métriques

Résultats