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

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Showing 2451–2500 of 6689 papers

TitleStatusHype
DeLiGAN : Generative Adversarial Networks for Diverse and Limited DataCode0
BLADERUNNER: Rapid Countermeasure for Synthetic (AI-Generated) StyleGAN FacesCode0
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion PriorCode0
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANsCode0
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
Deformation equivariant cross-modality image synthesis with paired non-aligned training dataCode0
More comprehensive facial inversion for more effective expression recognitionCode0
Deformable GANs for Pose-based Human Image GenerationCode0
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image SynthesisCode0
Deferred Neural Rendering: Image Synthesis using Neural TexturesCode0
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot StudyCode0
More Expressive Attention with Negative WeightsCode0
Defending Neural Backdoors via Generative Distribution ModelingCode0
Modular StoryGAN with Background and Theme Awareness for Story VisualizationCode0
MoEdit: On Learning Quantity Perception for Multi-object Image EditingCode0
Mode Seeking Generative Adversarial Networks for Diverse Image SynthesisCode0
Modular Generative Adversarial NetworksCode0
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image SynthesisCode0
Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research OpportunitiesCode0
Modeling Emotions and Ethics with Large Language ModelsCode0
MRI Reconstruction Using Deep Energy-Based ModelCode0
Multi-objective Deep Data Generation with Correlated Property ControlCode0
Deep residual inception encoder–decoder network for medical imaging synthesisCode0
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry GenerationCode0
Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided RefinementCode0
A New Paradigm for Generative Adversarial Networks based on Randomized Decision RulesCode0
3-D PET Image Generation with tumour masks using TGANCode0
Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and EducationCode0
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image GenerationCode0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
MintNet: Building Invertible Neural Networks with Masked ConvolutionsCode0
MirrorGAN: Learning Text-to-image Generation by RedescriptionCode0
BiOcularGAN: Bimodal Synthesis and Annotation of Ocular ImagesCode0
MISFIT-V: Misaligned Image Synthesis and Fusion using Information from Thermal and VisualCode0
Deep Learning for Fine-Grained Image Analysis: A SurveyCode0
MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and GenerationCode0
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial NetworksCode0
Deep Interactive EvolutionCode0
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPOCode0
MIGS: Meta Image Generation from Scene GraphsCode0
An End-to-End Model for Photo-Sharing Multi-modal Dialogue GenerationCode0
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language ConditioningCode0
Deep Generative Models for Distribution-Preserving Lossy CompressionCode0
BIGRoC: Boosting Image Generation via a Robust ClassifierCode0
Deep Generative Modeling with Backward Stochastic Differential EquationsCode0
MMaDA: Multimodal Large Diffusion Language ModelsCode0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire DetectionCode0
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns InjectionCode0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified