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SOTA
Image Generation
Image Generation On Celeba 64X64
Image Generation On Celeba 64X64
Metrics
FID
Results
Performance results of various models on this benchmark
Columns
Model Name
FID
Paper Title
Feature Alignment
128.35
Feature Alignment as a Generative Process
PAE
49.2
Probabilistic Autoencoder
FDP(MLP)
35
Continuous-Time Functional Diffusion Processes
BEGAN-CS
34.136
Escaping from Collapsing Modes in a Constrained Space
PR-BigGAN - Precision
22.45
-
PeerGAN
13.95
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
CLR-GAN
13.63
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
TransGAN-XL
12.23
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
FCE
12.21
Flow Contrastive Estimation of Energy-Based Models
FDP(UViT)
11
Continuous-Time Functional Diffusion Processes
HDCGAN
8.44
High-resolution Deep Convolutional Generative Adversarial Networks
PR-BigGAN - Recall
6.03
-
EBM-DRL (T6)
5.98
Learning Energy-Based Models by Diffusion Recovery Likelihood
C^3G-NeRF
5.6
Class-Continuous Conditional Generative Neural Radiance Field
NCP-VAE
5.25
A Contrastive Learning Approach for Training Variational Autoencoder Priors
DiffuseVAE
3.97
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
BigGAN-OBRS
3.74
Optimal Budgeted Rejection Sampling for Generative Models
Blackout Diffusion
3.22
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
DDPM++ (VP, NLL) + ST
2.9
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
PNDM
2.71
Pseudo Numerical Methods for Diffusion Models on Manifolds
0 of 39 row(s) selected.
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HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Image Generation
Image Generation On Celeba 64X64
Image Generation On Celeba 64X64
Metrics
FID
Results
Performance results of various models on this benchmark
Columns
Model Name
FID
Paper Title
Feature Alignment
128.35
Feature Alignment as a Generative Process
PAE
49.2
Probabilistic Autoencoder
FDP(MLP)
35
Continuous-Time Functional Diffusion Processes
BEGAN-CS
34.136
Escaping from Collapsing Modes in a Constrained Space
PR-BigGAN - Precision
22.45
-
PeerGAN
13.95
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
CLR-GAN
13.63
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
TransGAN-XL
12.23
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
FCE
12.21
Flow Contrastive Estimation of Energy-Based Models
FDP(UViT)
11
Continuous-Time Functional Diffusion Processes
HDCGAN
8.44
High-resolution Deep Convolutional Generative Adversarial Networks
PR-BigGAN - Recall
6.03
-
EBM-DRL (T6)
5.98
Learning Energy-Based Models by Diffusion Recovery Likelihood
C^3G-NeRF
5.6
Class-Continuous Conditional Generative Neural Radiance Field
NCP-VAE
5.25
A Contrastive Learning Approach for Training Variational Autoencoder Priors
DiffuseVAE
3.97
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
BigGAN-OBRS
3.74
Optimal Budgeted Rejection Sampling for Generative Models
Blackout Diffusion
3.22
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
DDPM++ (VP, NLL) + ST
2.9
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
PNDM
2.71
Pseudo Numerical Methods for Diffusion Models on Manifolds
0 of 39 row(s) selected.
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