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Image Generation
Image Generation On Stl 10
Image Generation On Stl 10
Metrics
FID
Inception score
Results
Performance results of various models on this benchmark
Columns
Model Name
FID
Inception score
Paper Title
Repository
TransGAN
18.28
10.43
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Dist-GAN
36.19
-
Dist-GAN: An Improved GAN using Distance Constraints
SN-GAN
40.1
9.10
Spectral Normalization for Generative Adversarial Networks
WaveDiff
12.93
-
Wavelet Diffusion Models are fast and scalable Image Generators
MMD-PMish-NAS
11.61
11.79
Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition
DC-VAE
41.9
8.1
Dual Contradistinctive Generative Autoencoder
-
RDUOT
11.5
-
A High-Quality Robust Diffusion Framework for Corrupted Dataset
AutoGAN
31.01
9.16
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
PeerGAN
51.37
-
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
-
RDGAN
13.07
-
A High-Quality Robust Diffusion Framework for Corrupted Dataset
UNCSN++ (RVE) + ST
7.71
13.43
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
aw-SN-GAN
34.72
9.61
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
MMD-AdversarialNAS
12.91
11.6
Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition
D2GAN
-
7.98
Dual Discriminator Generative Adversarial Nets
SNGAN-DCD (Pixel)
22.25
9.25
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
QSNGAN
59.611
4.987
Quaternion Generative Adversarial Networks
MMD-AdversarialNAS (Compressed Small)
14.84
11.66
Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition
EAGAN (G)
23.34
10.02
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
MMD-PMish-NAS (Compressed)
13.07
11.85
Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition
SNGAN-DCD (Latent)
17.68
9.33
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
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