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 2501–2550 of 6689 papers

TitleStatusHype
MoEdit: On Learning Quantity Perception for Multi-object Image EditingCode0
Modeling Emotions and Ethics with Large Language ModelsCode0
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image SynthesisCode0
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion ModelsCode0
Mode Seeking Generative Adversarial Networks for Diverse Image SynthesisCode0
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual RepresentationCode0
Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research OpportunitiesCode0
BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial NetworksCode0
Modular Generative Adversarial NetworksCode0
MontageGAN: Generation and Assembly of Multiple Components by GANsCode0
Deep chroma compression of tone-mapped imagesCode0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated ContentCode0
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image GenerationCode0
MintNet: Building Invertible Neural Networks with Masked ConvolutionsCode0
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image GenerationCode0
MirrorGAN: Learning Text-to-image Generation by RedescriptionCode0
MISFIT-V: Misaligned Image Synthesis and Fusion using Information from Thermal and VisualCode0
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image SynthesisCode0
Decoupled Learning for Conditional Adversarial NetworksCode0
MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and GenerationCode0
MMaDA: Multimodal Large Diffusion Language ModelsCode0
More comprehensive facial inversion for more effective expression recognitionCode0
MIGS: Meta Image Generation from Scene GraphsCode0
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPOCode0
Decontextualized learning for interpretable hierarchical representations of visual patternsCode0
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual ExplanationsCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
Coarse-to-Fine Gaze Redirection with Numerical and Pictorial GuidanceCode0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire DetectionCode0
Unmasking Bias in Diffusion Model TrainingCode0
Dealing with Synthetic Data Contamination in Online Continual LearningCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion TransformersCode0
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoderCode0
DCL: Differential Contrastive Learning for Geometry-Aware Depth SynthesisCode0
Meta-Learning and Self-Supervised Pretraining for Real World Image TranslationCode0
Analyzing the Feature Extractor Networks for Face Image SynthesisCode0
Day-to-Night Image Synthesis for Training Nighttime Neural ISPsCode0
M-EBM: Towards Understanding the Manifolds of Energy-Based ModelsCode0
Medical Image Synthesis with Deep Convolutional Adversarial NetworksCode0
BendVLM: Test-Time Debiasing of Vision-Language EmbeddingsCode0
MC-GAN: Multi-conditional Generative Adversarial Network for Image SynthesisCode0
Measurement Score-Based Diffusion ModelCode0
Medical Imaging Complexity and its Effects on GAN PerformanceCode0
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion ModelCode0
Benchmarking Generative Latent Variable Models for SpeechCode0
Data-Efficient Molecular Generation with Hierarchical Textual InversionCode0
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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