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 951975 of 6689 papers

TitleStatusHype
GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem SolutionsCode1
ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Disentangled Image Generation Through Structured Noise InjectionCode1
Discriminator-Cooperated Feature Map Distillation for GAN CompressionCode1
CLIP-Forge: Towards Zero-Shot Text-to-Shape GenerationCode1
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIPCode1
GIFD: A Generative Gradient Inversion Method with Feature Domain OptimizationCode1
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
Discovering Transferable Forensic Features for CNN-generated Images DetectionCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsCode1
Geometry-Guided Street-View Panorama Synthesis from Satellite ImageryCode1
GLeaD: Improving GANs with A Generator-Leading TaskCode1
Accelerating Markov Chain Monte Carlo sampling with diffusion modelsCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
HWD: A Novel Evaluation Score for Styled Handwritten Text GenerationCode1
Complementary Feature Enhanced Network with Vision Transformer for Image DehazingCode1
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI ReconstructionCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation LearningCode1
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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