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 24012425 of 6689 papers

TitleStatusHype
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANsCode0
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences SynthesisCode0
BooVAE: Boosting Approach for Continual Learning of VAECode0
ANNA: Abstractive Text-to-Image Synthesis with Filtered News CaptionsCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
MRI Reconstruction Using Deep Energy-Based ModelCode0
Multi-Class Multi-Instance Count Conditioned Adversarial Image GenerationCode0
Multi-objective evolutionary GAN for tabular data synthesisCode0
More comprehensive facial inversion for more effective expression recognitionCode0
More Expressive Attention with Negative WeightsCode0
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ SegmentationCode0
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal ModelsCode0
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion PriorCode0
Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation ModelsCode0
MoEdit: On Learning Quantity Perception for Multi-object Image EditingCode0
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive MethodCode0
Modular Generative Adversarial NetworksCode0
Modular StoryGAN with Background and Theme Awareness for Story VisualizationCode0
Detecting Origin Attribution for Text-to-Image Diffusion ModelsCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
Mode Seeking Generative Adversarial Networks for Diverse Image SynthesisCode0
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
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon DrawingCode0
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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