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 651–700 of 6689 papers

TitleStatusHype
Learning Few-Step Diffusion Models by Trajectory Distribution MatchingCode2
Towards More Accurate Personalized Image Generation: Addressing Overfitting and Evaluation BiasCode0
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability—0
Color Alignment in Diffusion—0
TR-DQ: Time-Rotation Diffusion Quantization—0
Generative modelling with jump-diffusionsCode0
Consistent Image Layout Editing with Diffusion Models—0
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy—0
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models—0
X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention DistillationCode2
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion ModelCode1
USP: Unified Self-Supervised Pretraining for Image Generation and UnderstandingCode2
Text2Story: Advancing Video Storytelling with Text Guidance—0
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture GradingCode1
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based ModelsCode0
Unified Reward Model for Multimodal Understanding and GenerationCode4
Frequency Autoregressive Image Generation with Continuous Tokens—0
LapLoss: Laplacian Pyramid-based Multiscale loss for Image Translation—0
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models—0
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models—0
Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video GenerationCode1
Find Matching Faces Based On Face Parameters—0
A Generative Approach to High Fidelity 3D Reconstruction from Text Data—0
Multi-View Depth Consistent Image Generation Using Generative AI Models: Application on Architectural Design of University Buildings—0
RectifiedHR: Enable Efficient High-Resolution Image Generation via Energy Rectification—0
Teaching Metric Distance to Autoregressive Multimodal Foundational Models—0
ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative ModelsCode1
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of ExpertsCode1
Q&C: When Quantization Meets Cache in Efficient Image GenerationCode0
Straight-Line Diffusion Model for Efficient 3D Molecular GenerationCode0
Generative Modeling of Microweather Wind Velocities for Urban Air MobilityCode0
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation—0
HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage—0
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation—0
TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication—0
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization—0
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap LayoutsCode1
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models—0
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN DiscriminatorCode2
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text—0
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling—0
Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset GenerationCode3
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
Cross Modality Medical Image Synthesis for Improving Liver Segmentation—0
Evaluating and Predicting Distorted Human Body Parts for Generated ImagesCode0
Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy—0
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and QualityCode2
How far can we go with ImageNet for Text-to-Image generation?—0
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and EditingCode2
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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