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 18261850 of 6689 papers

TitleStatusHype
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Multimodal Image Synthesis and Editing: The Generative AI EraCode1
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image EnhancementCode1
Conditional Vector Graphics Generation for Music Cover ImagesCode1
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood EstimationCode1
Multimodal LLM-Guided Semantic Correction in Text-to-Image DiffusionCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Local and Global GANs with Semantic-Aware Upsampling for Image GenerationCode1
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene GenerationCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor PlansCode1
Locally Masked Convolution for Autoregressive ModelsCode1
Multi-marginal Wasserstein GANCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
Elucidating the design space of language models for image generationCode1
Show:102550
← PrevPage 74 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