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

Showing 19261950 of 6689 papers

TitleStatusHype
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model0
Subject-driven Text-to-Image Generation via Preference-based Reinforcement LearningCode0
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis0
How Control Information Influences Multilingual Text Image Generation and Editing?Code0
Efficient Training with Denoised Neural Weights0
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
Optical Diffusion Models for Image Generation0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis0
AccDiffusion: An Accurate Method for Higher-Resolution Image GenerationCode2
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval0
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion ArchitectureCode1
DataDream: Few-shot Guided Dataset GenerationCode2
OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting0
Physics-Inspired Generative Models in Medical Imaging: A Review0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication0
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline ContextCode0
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation0
PSC: Posterior Sampling-Based CompressionCode1
Surgical Text-to-Image Generation0
PID: Physics-Informed Diffusion Model for Infrared Image GenerationCode2
Region Attention Transformer for Medical Image RestorationCode1
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language ModelsCode1
FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-30
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified