SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

Showing 47014725 of 6689 papers

TitleStatusHype
Elucidating the Design Space of Diffusion-Based Generative ModelsCode4
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Improved Vector Quantized Diffusion ModelsCode2
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark DiscoveryCode0
Text2Human: Text-Driven Controllable Human Image GenerationCode2
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait SynthesisCode2
Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsCode1
Learning with Stochastic OrdersCode0
Analytical Interpretation of Latent Codes in InfoGAN with SAR Images0
Analyzing the Latent Space of GAN through Local Dimension Estimation0
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
Structured Uncertainty in the Observation Space of Variational AutoencodersCode0
Accelerating Diffusion Models via Early Stop of the Diffusion ProcessCode1
Text-to-Face Generation with StyleGAN20
Pre-trained Perceptual Features Improve Differentially Private Image GenerationCode0
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and RegistrationCode2
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing0
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance0
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization0
GR-GAN: Gradual Refinement Text-to-image GenerationCode0
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Covid-19 chest x-ray image generation using resnet-dcgan modelCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified