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SOTA
图像生成
Image Generation On Stl 10
Image Generation On Stl 10
评估指标
FID
Inception score
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
FID
Inception score
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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