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 801–850 of 6689 papers

TitleStatusHype
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models—0
Bridging Scales in Map Generation: A scale-aware cascaded generative mapping framework for seamless and consistent multi-scale cartographic representation—0
DICE: Distilling Classifier-Free Guidance into Text Embeddings—0
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing—0
Generative Adversarial Networks Bridging Art and Machine Intelligence—0
Decoder-Only LLMs are Better Controllers for Diffusion Models—0
HOG-Diff: Higher-Order Guided Diffusion for Graph GenerationCode1
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
Masked Autoencoders Are Effective Tokenizers for Diffusion Models—0
On Fairness of Unified Multimodal Large Language Model for Image Generation—0
TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer—0
CTR-Driven Advertising Image Generation with Multimodal Large Language ModelsCode2
Poisson Flow Joint Model for Multiphase contrast-enhanced CT—0
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models—0
Diffusion Instruction Tuning—0
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT—0
Towards Consistent and Controllable Image Synthesis for Face Editing—0
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI SynthesisCode0
Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography—0
On the Guidance of Flow MatchingCode2
Unpaired Deblurring via Decoupled Diffusion Model—0
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers—0
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning—0
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target GenerationCode0
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion ModelsCode0
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation—0
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms—0
REG: Rectified Gradient Guidance for Conditional Diffusion Models—0
BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics—0
Distorting Embedding Space for Safety: A Defense Mechanism for Adversarially Robust Diffusion ModelsCode0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion TransformerCode9
LLMs can see and hear without any trainingCode3
Diffusion Autoencoders are Scalable Image Tokenizers—0
Generative AI for Vision: A Comprehensive Study of Frameworks and Applications—0
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingCode11
Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) AssessmentCode0
DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model—0
Variational Schrödinger Momentum Diffusion—0
Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset ExpansionCode1
Text-to-Image Generation for Vocabulary Learning Using the Keyword Method—0
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation—0
MetaDecorator: Generating Immersive Virtual Tours through Multimodality—0
RelightVid: Temporal-Consistent Diffusion Model for Video Relighting—0
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation—0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces—0
Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest—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