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 64016425 of 6689 papers

TitleStatusHype
How to make words with vectors: Phrase generation in distributional semantics0
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models0
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces0
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals0
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation0
A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One0
Human Appearance Transfer0
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation0
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark0
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning0
HumanGAN: A Generative Model of Humans Images0
Human Image Generation: A Comprehensive Survey0
Human Imperceptible Attacks and Applications to Improve Fairness0
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes0
A Unified Conditional Framework for Diffusion-based Image Restoration0
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment0
Augmenting medical image classifiers with synthetic data from latent diffusion models0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model0
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model0
Accuracy and Fidelity Comparison of Luna and DALL-E 2 Diffusion-Based Image Generation Systems0
HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation0
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models0
HYPE-C: Evaluating Image Completion Models Through Standardized Crowdsourcing0
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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