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الرئيسية
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Image Generation On Celeba Hq 256X256
Image Generation On Celeba Hq 256X256
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FID
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Columns
اسم النموذج
FID
Paper Title
Repository
LFM
5.26
Flow Matching in Latent Space
DC-VAE
15.81
Dual Contradistinctive Generative Autoencoder
-
UNCSN++ (RVE) + ST
7.16
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
VAEBM
20.38
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
RDUOT
5.6
A High-Quality Robust Diffusion Framework for Corrupted Dataset
DDGAN
7.64
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
WaveDiff
5.94
Wavelet Diffusion Models are fast and scalable Image Generators
LDM-4
5.11
High-Resolution Image Synthesis with Latent Diffusion Models
DDMI
8.73
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
VQGAN+Transformer
10.2
Taming Transformers for High-Resolution Image Synthesis
BOSS
-
Bellman Optimal Stepsize Straightening of Flow-Matching Models
RDM
3.15
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Dual-MCMC EBM
15.89
Learning Energy-based Model via Dual-MCMC Teaching
-
StyleSwin
3.25
StyleSwin: Transformer-based GAN for High-resolution Image Generation
LSGM
7.22
Score-based Generative Modeling in Latent Space
Joint-EBM
9.89
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator
-
RNODE
-
How to train your neural ODE: the world of Jacobian and kinetic regularization
Diffusion-JEBM
8.78
Learning Latent Space Hierarchical EBM Diffusion Models
-
GLOW
68.93
Glow: Generative Flow with Invertible 1x1 Convolutions
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