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 19511975 of 6689 papers

TitleStatusHype
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-30
E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors0
SEED-Story: Multimodal Long Story Generation with Large Language ModelCode4
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation DatasetsCode0
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary ViewsCode1
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A SurveyCode2
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image SynthesisCode2
Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning0
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
Generative Image as Action ModelsCode2
Trainable Highly-expressive Activation FunctionsCode1
Accelerating Mobile Edge Generation (MEG) by Constrained Learning0
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion0
Sketch-Guided Scene Image Generation0
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement LearningCode2
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible GuidanceCode2
Spanish TrOCR: Leveraging Transfer Learning for Language AdaptationCode0
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept ExtractionCode2
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing0
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion ModelsCode2
3D Vessel Graph Generation Using Denoising DiffusionCode1
Rethinking Image Skip Connections in StyleGAN20
FairDiff: Fair Segmentation with Point-Image DiffusionCode2
MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition0
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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