HyperAI

Image Generation On Stl 10

Metrics

FID
Inception score

Results

Performance results of various models on this benchmark

Model Name
FID
Inception score
Paper TitleRepository
TransGAN18.2810.43TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Dist-GAN36.19-Dist-GAN: An Improved GAN using Distance Constraints
SN-GAN40.19.10Spectral Normalization for Generative Adversarial Networks
WaveDiff12.93-Wavelet Diffusion Models are fast and scalable Image Generators
MMD-PMish-NAS11.6111.79Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition
DC-VAE41.98.1Dual Contradistinctive Generative Autoencoder-
RDUOT11.5-A High-Quality Robust Diffusion Framework for Corrupted Dataset
AutoGAN31.019.16AutoGAN: Neural Architecture Search for Generative Adversarial Networks
PeerGAN51.37-DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training-
RDGAN13.07-A High-Quality Robust Diffusion Framework for Corrupted Dataset
UNCSN++ (RVE) + ST7.7113.43Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
aw-SN-GAN34.729.61Adaptive Weighted Discriminator for Training Generative Adversarial Networks
MMD-AdversarialNAS12.9111.6Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition
D2GAN-7.98Dual Discriminator Generative Adversarial Nets
SNGAN-DCD (Pixel)22.259.25Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
QSNGAN59.6114.987Quaternion Generative Adversarial Networks
MMD-AdversarialNAS (Compressed Small)14.8411.66Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition
EAGAN (G)23.3410.02EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
MMD-PMish-NAS (Compressed)13.0711.85Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition
SNGAN-DCD (Latent)17.689.33Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
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