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 13261350 of 6689 papers

TitleStatusHype
GlueGen: Plug and Play Multi-modal Encoders for X-to-image GenerationCode1
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer NormalizationCode1
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image GenerationCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
Cycle Text-To-Image GAN with BERTCode1
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image TranslationCode1
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesCode1
Flow Contrastive Estimation of Energy-Based ModelsCode1
Counterfactual Generative NetworksCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Deep Image Spatial Transformation for Person Image GenerationCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
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
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative ModelsCode1
FlexIT: Towards Flexible Semantic Image TranslationCode1
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion ModelsCode1
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text BlendingCode1
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation BenchmarkCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
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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