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 551600 of 6689 papers

TitleStatusHype
Ultra-Resolution Adaptation with EaseCode2
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models0
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal StimuliCode0
FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing0
Tokenize Image as a SetCode2
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming0
Single Image Iterative Subject-driven Generation and EditingCode2
ATTENTION2D: Communication Efficient Distributed Self-Attention Mechanism0
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction AwarenessCode0
Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI0
Di[M]O: Distilling Masked Diffusion Models into One-step Generator0
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis0
Multi-focal Conditioned Latent Diffusion for Person Image SynthesisCode1
TF-TI2I: Training-Free Text-and-Image-to-Image Generation via Multi-Modal Implicit-Context Learning in Text-to-Image Models0
Guardians of Generation: Dynamic Inference-Time Copyright Shielding with Adaptive Guidance for AI Image Generation0
Efficient Personalization of Quantized Diffusion Model without BackpropagationCode1
CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image GenerationCode0
FP4DiT: Towards Effective Floating Point Quantization for Diffusion TransformersCode0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis0
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin0
DPImageBench: A Unified Benchmark for Differentially Private Image SynthesisCode1
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing0
SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World ModelCode1
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection0
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers0
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation0
Deeply Supervised Flow-Based Generative Models0
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing0
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised MatchingCode2
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank AdaptationCode1
EditID: Training-Free Editable ID Customization for Text-to-Image Generation0
Personalize Anything for Free with Diffusion Transformer0
Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context ReflectionCode2
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving0
LAPIG: Language Guided Projector Image Generation with Surface Adaptation and Stylization0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization0
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion ModelsCode1
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse RewardsCode2
Direction-Aware Diagonal Autoregressive Image Generation0
Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking0
Visual Polarization Measurement Using Counterfactual Image Generation0
Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs0
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation0
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark0
MoEdit: On Learning Quantity Perception for Multi-object Image EditingCode0
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation0
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and EditingCode3
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models0
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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