HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
توليد الصور
Image Generation On Cifar 10
Image Generation On Cifar 10
المقاييس
FID
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
FID
Paper Title
Repository
MIX-BigGAN
8.17
Lessons Learned from the Training of GANs on Artificial Datasets
ACGAN
35.47
-
-
EAGAN (G)
10.14
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
ProdPoly no activation functions
40.45
Deep Polynomial Neural Networks
SiDA-EDM
1.396
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
LeCAM (BigGAN + DA)
8.46
Regularizing Generative Adversarial Networks under Limited Data
Discriminator Guidance (unconditional)
1.77
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
WGAN-GP + TT Update Rule
24.8
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
GMem
1.22
Generative Modeling with Explicit Memory
SciRE-Solver (with EDM)
1.76
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference
-
RESFLOW
48.29
-
-
CLR-GAN
23.3
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
RSGAN-GP
25.60
The relativistic discriminator: a key element missing from standard GAN
Subspace Diffusion (NSCN++)
2.17
Subspace Diffusion Generative Models
block flow
2.29
Block Flow: Learning Straight Flow on Data Blocks
StyleSAN-XL
1.36
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
RDUOT
2.95
A High-Quality Robust Diffusion Framework for Corrupted Dataset
EAGAN (G+D)
9.91
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
PresGAN
52.202
Prescribed Generative Adversarial Networks
PeerGAN
21.55
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
-
0 of 70 row(s) selected.
Previous
Next