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 13011350 of 6689 papers

TitleStatusHype
CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal DiffusionCode1
Efficient Personalization of Quantized Diffusion Model without BackpropagationCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Dual-Domain Image Synthesis using Segmentation-Guided GANCode1
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style AdviserCode1
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion ModelsCode1
Integrating Visuospatial, Linguistic and Commonsense Structure into Story VisualizationCode1
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan DesignCode1
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative ModelsCode1
Dual Attention GANs for Semantic Image SynthesisCode1
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit EditingCode1
Dual Contrastive Loss and Attention for GANsCode1
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative ModelsCode1
Integrating Visuospatial, Linguistic, and Commonsense Structure into Story VisualizationCode1
Investigating the Design Space of Diffusion Models for Speech EnhancementCode1
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model StatisticsCode1
Autoregressive Diffusion ModelsCode1
Instance-Conditioned GANCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
Batch-efficient EigenDecomposition for Small and Medium MatricesCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image SynthesisCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
DRAW: A Recurrent Neural Network For Image GenerationCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
DPImageBench: A Unified Benchmark for Differentially Private Image SynthesisCode1
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion ArchitectureCode1
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image GenerationCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 BenchmarkCode1
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image TranslationCode1
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer NormalizationCode1
InsetGAN for Full-Body Image GenerationCode1
DocSynth: A Layout Guided Approach for Controllable Document Image SynthesisCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
DMM: Building a Versatile Image Generation Model via Distillation-Based Model MergingCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
Counterfactual Generative NetworksCode1
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image SynthesisCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image SynthesisCode1
Counterfactual contrastive learning: robust representations via causal image synthesisCode1
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual ExamplesCode1
Automatic Jailbreaking of the Text-to-Image Generative AI SystemsCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GANCode1
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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