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 3451–3475 of 6689 papers

TitleStatusHype
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation—0
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models—0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
Prior Learning in Introspective VAEs—0
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models—0
Variational autoencoder-based neural network model compression—0
Explainable Concept Generation through Vision-Language Preference Learning—0
Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing—0
Shape-Preserving Generation of Food Images for Automatic Dietary Assessment—0
Abstract Art Interpretation Using ControlNetCode0
EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation—0
G3FA: Geometry-guided GAN for Face Animation—0
What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn GuidanceCode0
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion—0
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient—0
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models—0
Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce—0
CODE: Confident Ordinary Differential EditingCode0
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models—0
Pixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models—0
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets ProtectionCode0
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting—0
MS^3D: A RG Flow-Based Regularization for GAN Training with Limited Data—0
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse—0
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP—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