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 5951–6000 of 6689 papers

TitleStatusHype
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEsCode0
Pixel-wise Conditioning of Generative Adversarial NetworksCode0
Instance Normalization: The Missing Ingredient for Fast StylizationCode0
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image TransformationCode0
MoEdit: On Learning Quantity Perception for Multi-object Image EditingCode0
Few-shot Image Generation via Masked DiscriminationCode0
Synthetic Lung Nodule 3D Image Generation Using AutoencodersCode0
Few-shot Image Generation with Diffusion ModelsCode0
PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated ImagesCode0
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative ModelsCode0
URCDM: Ultra-Resolution Image Synthesis in HistopathologyCode0
Dual Projection Generative Adversarial Networks for Conditional Image GenerationCode0
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities GenerationCode0
Instant Photorealistic Neural Radiance Fields StylizationCode0
Diversity in deep generative models and generative AICode0
FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback NetworkCode0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) DatasetCode0
FIGR: Few-shot Image Generation with ReptileCode0
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image GenerationCode0
Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacementCode0
Block Flow: Learning Straight Flow on Data BlocksCode0
Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus DiagnosisCode0
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold NetworkCode0
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold NetworkCode0
Asymmetric Bias in Text-to-Image Generation with Adversarial AttacksCode0
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
More comprehensive facial inversion for more effective expression recognitionCode0
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity MetricsCode0
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic OptimizationCode0
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationCode0
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image GenerationCode0
More Expressive Attention with Negative WeightsCode0
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image SynthesisCode0
Fine-grained Forecasting Models Via Gaussian Process Blurring EffectCode0
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial NetworkCode0
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph GenerationCode0
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial NetworksCode0
Divide and Compose with Score Based Generative ModelsCode0
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence GuaranteesCode0
Deep residual inception encoder–decoder network for medical imaging synthesisCode0
Towards Explainable Fake Image Detection with Multi-Modal Large Language ModelsCode0
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path TracingCode0
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion PriorCode0
Plug-and-Play Priors as a Score-Based MethodCode0
TextCaps : Handwritten Character Recognition with Very Small DatasetsCode0
Motion Transfer-Driven intra-class data augmentation for Finger Vein RecognitionCode0
Will Large-scale Generative Models Corrupt Future Datasets?Code0
A Generative Model for Texture Synthesis based on Optimal Transport between Feature DistributionsCode0
Fine Tuning Text-to-Image Diffusion Models for Correcting Anomalous ImagesCode0
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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