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 30013025 of 6689 papers

TitleStatusHype
UIEDP:Underwater Image Enhancement with Diffusion PriorCode1
Compensation Sampling for Improved Convergence in Diffusion ModelsCode0
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning0
Disentangled Representation Learning for Controllable Person Image Generation0
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion ModelCode2
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition0
Correcting Diffusion Generation through ResamplingCode1
Conditional Stochastic Interpolation for Generative Learning0
Efficient Quantization Strategies for Latent Diffusion Models0
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models0
MVDD: Multi-View Depth Diffusion Models0
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion ModelsCode2
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models0
Reality's Canvas, Language's Brush: Crafting 3D Avatars from Monocular Video0
Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging0
Membership Inference Attacks on Diffusion Models via Quantile Regression0
Synthesizing Traffic Datasets using Graph Neural NetworksCode0
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation0
Resolution Chromatography of Diffusion Models0
Multi-View Unsupervised Image Generation with Cross Attention Guidance0
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion0
Approximate Caching for Efficiently Serving Diffusion Models0
PhotoMaker: Customizing Realistic Human Photos via Stacked ID EmbeddingCode6
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design0
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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