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 20012025 of 6689 papers

TitleStatusHype
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image SynthesisCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
Generating Novel Scene Compositions from Single Images and VideosCode1
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image SynthesisCode1
On Evaluation Metrics for Graph Generative ModelsCode1
Effective and Efficient Masked Image Generation ModelsCode1
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
NiftyNet: a deep-learning platform for medical imagingCode1
NICE: Non-linear Independent Components EstimationCode1
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image GenerationCode1
Efficient Conditional GAN Transfer with Knowledge Propagation across ClassesCode1
Efficient Content-Based Sparse Attention with Routing TransformersCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
Enhanced Balancing GAN: Minority-class Image GenerationCode1
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing ApplicationsCode1
A Simple and Effective Baseline for Attentional Generative Adversarial NetworksCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
ColorSwap: A Color and Word Order Dataset for Multimodal EvaluationCode1
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
ENAT: Rethinking Spatial-temporal Interactions in Token-based 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