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 2351–2400 of 6689 papers

TitleStatusHype
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation—0
Text to Image Generation and Editing: A Survey—0
Regression is all you need for medical image translationCode0
Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset—0
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling—0
RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation—0
WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation—0
Improving Editability in Image Generation with Layer-wise Memory—0
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers—0
Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields—0
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion—0
A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks—0
YoChameleon: Personalized Vision and Language Generation—0
Inception: Jailbreak the Memory Mechanism of Text-to-Image Generation Systems—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models—0
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition—0
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation—0
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models—0
Fast Autoregressive Models for Continuous Latent Generation—0
FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model—0
Distilling semantically aware orders for autoregressive image generation—0
ePBR: Extended PBR Materials in Image Synthesis—0
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing—0
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models—0
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale—0
VistaDepth: Frequency Modulation With Bias Reweighting For Enhanced Long-Range Depth Estimation—0
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration—0
Twin Co-Adaptive Dialogue for Progressive Image Generation—0
Emergence and Evolution of Interpretable Concepts in Diffusion Models—0
REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens—0
VGNC: Reducing the Overfitting of Sparse-view 3DGS via Validation-guided Gaussian Number Control—0
Towards Explainable Fake Image Detection with Multi-Modal Large Language ModelsCode0
Leveraging Generative AI Models to Explore Human Identity—0
Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis—0
Cross-attention for State-based model RWKV-7—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion—0
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing—0
Point-Driven Interactive Text and Image Layer Editing Using Diffusion Models—0
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation—0
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
ForgetMe: Evaluating Selective Forgetting in Generative Models—0
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsCode0
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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