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 10761100 of 6689 papers

TitleStatusHype
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference0
Numerical Pruning for Efficient Autoregressive Models0
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image GenerationCode0
ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding InteractionCode0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation0
Prompt Augmentation for Self-supervised Text-guided Image Manipulation0
Unsupervised Region-Based Image Editing of Denoising Diffusion Models0
Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression0
Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection GuidanceCode3
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration0
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration0
You Only Submit One Image to Find the Most Suitable Generative Model0
OmniPrism: Learning Disentangled Visual Concept for Image Generation0
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation0
Causal Diffusion Transformers for Generative ModelingCode2
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image GenerationCode1
VersaGen: Unleashing Versatile Visual Control for Text-to-Image SynthesisCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model0
A LoRA is Worth a Thousand Pictures0
Relation-Guided Adversarial Learning for Data-free Knowledge TransferCode1
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models0
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
Provably Secure Robust Image Steganography via Cross-Modal Error Correction0
Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models0
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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