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 32013225 of 6689 papers

TitleStatusHype
3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion ModelsCode1
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer0
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors0
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image0
LCM-LoRA: A Universal Stable-Diffusion Acceleration ModuleCode4
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation0
L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks0
Image-Based Virtual Try-On: A SurveyCode1
Image Generation and Learning Strategy for Deep Document Forgery Detection0
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation0
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators0
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion ModelsCode0
Energy-Calibrated VAE with Test Time Free LunchCode0
AnyText: Multilingual Visual Text Generation And EditingCode4
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary PaintingCode1
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation0
Towards High-quality HDR Deghosting with Conditional Diffusion Models0
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks0
Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face SynthesisCode0
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and EditingCode4
Optimal Budgeted Rejection Sampling for Generative Models0
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging StudyCode1
Flooding Regularization for Stable Training of Generative Adversarial Networks0
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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