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 17761800 of 6689 papers

TitleStatusHype
Elucidating the Exposure Bias in Diffusion ModelsCode1
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
Set-the-Scene: Global-Local Training for Generating Controllable NeRF ScenesCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image TransformationCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Shifted Diffusion for Text-to-image GenerationCode1
Elucidating the design space of language models for image generationCode1
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive LearningCode1
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image SynthesisCode1
Disentangled Image Generation Through Structured Noise InjectionCode1
Modeling Artistic Workflows for Image Generation and EditingCode1
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal DataCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
CONFIG: Controllable Neural Face Image GenerationCode1
Modeling Image Composition for Complex Scene GenerationCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationCode1
ConditionVideo: Training-Free Condition-Guided Text-to-Video GenerationCode1
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion ModelsCode1
Adversarial Illusions in Multi-Modal EmbeddingsCode1
Learning Energy-Based Models by Diffusion Recovery LikelihoodCode1
Efficient-VDVAE: Less is moreCode1
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel SynthesisCode1
Show:102550
← PrevPage 72 of 268Next →

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