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 3451–3500 of 6689 papers

TitleStatusHype
A Multimodal Visual Encoding Model Aided by Introducing Verbal Semantic Information—0
Identifying and Mitigating the Security Risks of Generative AI—0
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning—0
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial NetworksCode0
ORES: Open-vocabulary Responsible Visual SynthesisCode1
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport—0
Residual Denoising Diffusion ModelsCode2
Is Deep Learning Network Necessary for Image Generation?—0
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model—0
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions—0
Dense Text-to-Image Generation with Attention ModulationCode2
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation—0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
LFS-GAN: Lifelong Few-Shot Image GenerationCode1
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesCode6
Manipulating Embeddings of Stable Diffusion PromptsCode1
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
Adversarial Illusions in Multi-Modal EmbeddingsCode1
Open Set Synthetic Image Source Attribution—0
Semantic RGB-D Image Synthesis—0
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers—0
Hyperspectral Blind Unmixing using a Double Deep Image PriorCode0
Debiasing Counterfactuals In the Presence of Spurious Correlations—0
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts—0
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural NetworksCode1
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation—0
I3: Intent-Introspective Retrieval Conditioned on Instructions—0
ControlCom: Controllable Image Composition using Diffusion ModelCode1
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious CorrelationsCode0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images—0
Guide3D: Create 3D Avatars from Text and Image Guidance—0
Watch Your Steps: Local Image and Scene Editing by Text Instructions—0
Painter: Teaching Auto-regressive Language Models to Draw Sketches—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image SynthesisCode1
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit AssignmentCode0
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
SGDiff: A Style Guided Diffusion Model for Fashion SynthesisCode1
Story Visualization by Online Text Augmentation with Context MemoryCode1
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without TrainingCode1
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference—0
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation—0
Semantic-aware Network for Aerial-to-Ground Image SynthesisCode0
Bayesian Flow NetworksCode2
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts—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