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

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Showing 4826–4850 of 6689 papers

TitleStatusHype
CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis—0
ComposeAnything: Composite Object Priors for Text-to-Image Generation—0
Composing Ensembles of Pre-trained Models via Iterative Consensus—0
Composing Parts for Expressive Object Generation—0
Composite Diffusion | whole >= Σparts—0
Compositional Text-to-Image Generation with Dense Blob Representations—0
SpotActor: Training-Free Layout-Controlled Consistent Image Generation—0
CC-Diff: Enhancing Contextual Coherence in Remote Sensing Image Synthesis—0
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing—0
Causal-TGAN: Causally-Aware Synthetic Tabular Data Generative Adversarial Network—0
Compressive Sensing Imaging Using Caustic Lens Mask Generated by Periodic Perturbation in a Ripple Tank—0
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction—0
Computerized Tomography Pulmonary Angiography Image Simulation using Cycle Generative Adversarial Network from Chest CT imaging in Pulmonary Embolism Patients—0
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach—0
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models—0
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation—0
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis—0
Concept Formation and Dynamics of Repeated Inference in Deep Generative Models—0
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation—0
Causal Image Synthesis of Brain MR in 3D—0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models—0
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity—0
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation—0
Conceptual and Hierarchical Latent Space Decomposition for Face Editing—0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified