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 3726–3750 of 6689 papers

TitleStatusHype
Training-free Editioning of Text-to-Image Models—0
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection—0
Glauber Generative Model: Discrete Diffusion Models via Binary Classification—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based DiscriminationCode0
Lateralization MLP: A Simple Brain-inspired Architecture for DiffusionCode0
Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks—0
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model—0
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance—0
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation—0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance—0
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models—0
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models—0
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation—0
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors—0
FreeTuner: Any Subject in Any Style with Training-free Diffusion—0
Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations—0
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models—0
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural NetworksCode0
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising—0
LG-VQ: Language-Guided Codebook Learning—0
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis—0
A Study of Posterior Stability for Time-Series Latent Diffusion—0
Curriculum Direct Preference Optimization for Diffusion and Consistency ModelsCode0
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation—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