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 301–350 of 6689 papers

TitleStatusHype
Preliminary Explorations with GPT-4o(mni) Native Image Generation—0
Multimodal Benchmarking and Recommendation of Text-to-Image Generation ModelsCode0
Distribution-Conditional Generation: From Class Distribution to Creative Generation—0
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-TuningCode4
Safer Prompts: Reducing IP Risk in Visual Generative AI—0
Real-Time Person Image Synthesis Using a Flow Matching ModelCode0
Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music GenerationCode1
From Spaceborne to Airborne: SAR Image Synthesis Using Foundation Models for Multi-Scale Adaptation—0
Text to Image Generation and Editing: A Survey—0
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation—0
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and OpportunitiesCode5
Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal InteractionCode4
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion ModelsCode0
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by ThemselvesCode2
Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset—0
Regression is all you need for medical image translationCode0
RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation—0
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling—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
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoTCode4
Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields—0
Nexus-Gen: A Unified Model for Image Understanding, Generation, and EditingCode3
YoChameleon: Personalized Vision and Language Generation—0
PixelHacker: Image Inpainting with Structural and Semantic ConsistencyCode3
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
Inception: Jailbreak the Memory Mechanism of Text-to-Image Generation Systems—0
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future DirectionsCode2
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—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
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition—0
FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model—0
ePBR: Extended PBR Materials in Image Synthesis—0
Distilling semantically aware orders for autoregressive image generation—0
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing—0
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image GenerationCode1
Emergence and Evolution of Interpretable Concepts in Diffusion Models—0
Twin Co-Adaptive Dialogue for Progressive Image Generation—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
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models—0
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens—0
REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models—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