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 20512075 of 6689 papers

TitleStatusHype
PADL: Language-Directed Physics-Based Character ControlCode1
SofGAN: A Portrait Image Generator with Dynamic StylingCode1
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion ModelsCode1
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion TeacherCode1
Parallel Sampling of Diffusion ModelsCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
Elucidating the design space of language models for image generationCode1
OSSGAN: Open-Set Semi-Supervised Image GenerationCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
ORES: Open-vocabulary Responsible Visual SynthesisCode1
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image GenerationCode1
Out-of-distribution Detection via Frequency-regularized Generative ModelsCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian PerturbationCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
Generative Modeling with Bayesian Sample InferenceCode1
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationCode1
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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