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 2651–2700 of 6689 papers

TitleStatusHype
How Stable is Stable Diffusion under Recursive InPainting (RIP)?—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
DiffMorph: Text-less Image Morphing with Diffusion Models—0
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors—0
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers—0
A Novel Framework for Image-to-image Translation and Image Compression—0
Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking—0
DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion—0
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing—0
A novel deep learning-based method for monochromatic image synthesis from spectral CT using photon-counting detectors—0
How do Minimum-Norm Shallow Denoisers Look in Function Space?—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
BRIDGING ADVERSARIAL SAMPLES AND ADVERSARIAL NETWORKS—0
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models—0
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Differentially Private Fine-Tuning of Diffusion Models—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System—0
How to build a consistency model: Learning flow maps via self-distillation—0
Differentially Private Diffusion Models Generate Useful Synthetic Images—0
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance—0
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model—0
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity—0
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net—0
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels—0
Holistic Evaluation for Interleaved Text-and-Image Generation—0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases—0
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC_4Net—0
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model—0
BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
DiffCollage: Parallel Generation of Large Content with Diffusion Models—0
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models—0
Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI—0
DiffBrush:Just Painting the Art by Your Hands—0
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment—0
Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)—0
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models—0
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning—0
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation—0
DiCTI: Diffusion-based Clothing Designer via Text-guided Input—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