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 14761500 of 6689 papers

TitleStatusHype
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural PromptsCode1
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
Where Is My Spot? Few-Shot Image Generation via Latent Subspace OptimizationCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Discriminator-Cooperated Feature Map Distillation for GAN CompressionCode1
PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image TranslationCode1
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular LayoutsCode1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
FunkNN: Neural Interpolation for Functional GenerationCode1
Benchmarking Spatial Relationships in Text-to-Image GenerationCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
Towards Smooth Video CompositionCode1
Score-based Generative Modeling Secretly Minimizes the Wasserstein DistanceCode1
LidarCLIP or: How I Learned to Talk to Point CloudsCode1
Towards Practical Plug-and-Play Diffusion ModelsCode1
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation LearningCode1
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure SegmentationCode1
Seeing a Rose in Five Thousand WaysCode1
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow RemovalCode1
SINE: SINgle Image Editing with Text-to-Image Diffusion ModelsCode1
GLeaD: Improving GANs with A Generator-Leading TaskCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image SynthesisCode1
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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