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 451475 of 6689 papers

TitleStatusHype
Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image DescriptionsCode2
ProcessPainter: Learn Painting Process from Sequence DataCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsCode2
GenAI Arena: An Open Evaluation Platform for Generative ModelsCode2
Zero-Painter: Training-Free Layout Control for Text-to-Image SynthesisCode2
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive DiffusionCode2
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image GenerationCode2
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image GenerationCode2
Hybrid Fourier Score Distillation for Efficient One Image to 3D Object GenerationCode2
Improving the Training of Rectified FlowsCode2
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory MatchingCode2
SketchDeco: Decorating B&W Sketches with ColourCode2
Underwater Image Enhancement by Diffusion Model with Customized CLIP-ClassifierCode2
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion ModelsCode2
TerDiT: Ternary Diffusion Models with TransformersCode2
RectifID: Personalizing Rectified Flow with Anchored Classifier GuidanceCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept CompositionCode2
I2I-Mamba: Multi-modal medical image synthesis via selective state space modelingCode2
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal SlicesCode2
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image GenerationCode2
SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection MethodsCode2
TheaterGen: Character Management with LLM for Consistent Multi-turn Image GenerationCode2
REBEL: Reinforcement Learning via Regressing Relative RewardsCode2
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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