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 3501–3550 of 6689 papers

TitleStatusHype
IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts—0
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey—0
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesCode0
Step Saver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance—0
A Novel Evaluation Framework for Image2Text Generation—0
SkyDiffusion: Ground-to-Aerial Image Synthesis with Diffusion Models and BEV Paradigm—0
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts—0
Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis—0
A new approach for encoding code and assisting code understanding—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function—0
Deformable 3D Shape Diffusion Model—0
Fine-gained Zero-shot Video Sampling—0
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks—0
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray ImageCode0
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory—0
MaskInversion: Localized Embeddings via Optimization of Explainability Maps—0
Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"Code0
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative AdversaryCode0
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion—0
Guided Latent Slot Diffusion for Object-Centric Learning—0
ViPer: Visual Personalization of Generative Models via Individual Preference Learning—0
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects—0
Synthetic Trajectory Generation Through Convolutional Neural NetworksCode0
Artistic Intelligence: A Diffusion-Based Framework for High-Fidelity Landscape Painting Synthesis—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsCode0
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI—0
LSReGen: Large-Scale Regional Generator via Backward Guidance Framework—0
Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification—0
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling—0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image GenerationCode0
Diffusion Models as Data Mining Tools—0
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representationCode0
Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Are handcrafted filters helpful for attributing AI-generated images?—0
Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models—0
Time Series Generative Learning with Application to Brain Imaging Analysis—0
Image Inpainting Models are Effective Tools for Instruction-guided Image Editing—0
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous DrivingCode0
URCDM: Ultra-Resolution Image Synthesis in HistopathologyCode0
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking—0
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process—0
From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases—0
GeoGuide: Geometric guidance of diffusion modelsCode0
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation—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