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 17511775 of 6689 papers

TitleStatusHype
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionCode1
Learning to Generate Levels From NothingCode1
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANsCode1
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preservingCode1
Repurposing GANs for One-shot Semantic Part SegmentationCode1
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream NetworkCode1
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
Freestyle Layout-to-Image SynthesisCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningCode1
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and CorrespondenceCode1
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image GenerationCode1
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic ModelsCode1
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsCode1
From Face to Natural Image: Learning Real Degradation for Blind Image Super-ResolutionCode1
Discovering Transferable Forensic Features for CNN-generated Images DetectionCode1
A Preliminary Study for GPT-4o on Image RestorationCode1
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
Reuse and Diffuse: Iterative Denoising for Text-to-Video GenerationCode1
Revealing Vulnerabilities in Stable Diffusion via Targeted AttacksCode1
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse priorCode1
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural PromptsCode1
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image SynthesisCode1
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
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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