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 23012325 of 6689 papers

TitleStatusHype
Defect Image Sample Generation With Diffusion Prior for Steel Surface Defect Recognition0
Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification0
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration0
Long Tail Image Generation Through Feature Space Augmentation and Iterated LearningCode0
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance0
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers0
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models0
Compressive Sensing Imaging Using Caustic Lens Mask Generated by Periodic Perturbation in a Ripple Tank0
Streamlining Image Editing with Layered Diffusion Brushes0
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration EnhancementCode0
RGBX: Image decomposition and synthesis using material- and lighting-aware diffusion models0
InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation0
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion ModelsCode1
SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration0
DOCCI: Descriptions of Connected and Contrasting Images0
NeRF-Insert: 3D Local Editing with Multimodal Control Signals0
G-Refine: A General Quality Refiner for Text-to-Image GenerationCode1
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation0
SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection MethodsCode2
PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated ImagesCode0
Hide and Seek: How Does Watermarking Impact Face Recognition?0
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology0
FlexiFilm: Long Video Generation with Flexible ConditionsCode1
Learning Mixtures of Gaussians Using Diffusion Models0
TheaterGen: Character Management with LLM for Consistent Multi-turn Image GenerationCode2
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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