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 701–750 of 6689 papers

TitleStatusHype
SafeText: Safe Text-to-image Models via Aligning the Text Encoder—0
DiffBrush:Just Painting the Art by Your Hands—0
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion ModelsCode0
FlexVAR: Flexible Visual Autoregressive Modeling without Residual PredictionCode2
Beyond Next-Token: Next-X Prediction for Autoregressive Visual GenerationCode3
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold NetworkCode0
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute—0
Analyzing CLIP's Performance Limitations in Multi-Object Scenarios: A Controlled High-Resolution Study—0
Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You ThinkCode2
Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model—0
Attention Distillation: A Unified Approach to Visual Characteristics TransferCode3
Optimal Stochastic Trace Estimation in Generative Modeling—0
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis—0
3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer—0
AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools—0
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image GenerationCode3
LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation—0
FoREST: Frame of Reference Evaluation in Spatial Reasoning TasksCode0
Training Consistency Models with Variational Noise CouplingCode1
Bayesian Optimization for Controlled Image Editing via LLMs—0
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models—0
ASurvey: Spatiotemporal Consistency in Video Generation—0
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis—0
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy—0
Autoregressive Image Generation Guided by Chains of Thought—0
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence—0
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future DirectionsCode2
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement—0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
Fractal Generative ModelsCode5
DICEPTION: A Generalist Diffusion Model for Visual Perceptual TasksCode3
Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling—0
Unified Prompt Attack Against Text-to-Image Generation Models—0
High-resolution Rainy Image Synthesis: Learning from RenderingCode0
DualNeRF: Text-Driven 3D Scene Editing via Dual-Field Representation—0
One-step Diffusion Models with f-Divergence Distribution Matching—0
FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation—0
Multi-Agent Multimodal Models for Multicultural Text to Image GenerationCode0
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Generative Modeling of Individual Behavior at Scale—0
Improving the Diffusability of Autoencoders—0
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models—0
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length—0
MagicGeo: Training-Free Text-Guided Geometric Diagram Generation—0
Flow-based generative models as iterative algorithms in probability space—0
IP-Composer: Semantic Composition of Visual Concepts—0
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image GenerationCode2
Spherical Dense Text-to-Image Synthesis—0
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through OptionsCode0
Personalized Image Generation with Deep Generative Models: A Decade SurveyCode3
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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