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 4401–4450 of 6689 papers

TitleStatusHype
Localizing and Editing Knowledge in Text-to-Image Generative Models—0
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement—0
WEM-GAN: Wavelet transform based facial expression manipulation—0
Local Statistics for Generative Image Detection—0
LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis—0
Training-free Editioning of Text-to-Image Models—0
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems—0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary—0
Training-Free Identity Preservation in Stylized Image Generation Using Diffusion Models—0
LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving—0
LooseControl: Lifting ControlNet for Generalized Depth Conditioning—0
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models—0
Training-Free Location-Aware Text-to-Image Synthesis—0
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers—0
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation—0
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion—0
Training-Free Safe Denoisers for Safe Use of Diffusion Models—0
Low-Biased General Annotated Dataset Generation—0
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication—0
Artistic Intelligence: A Diffusion-Based Framework for High-Fidelity Landscape Painting Synthesis—0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation—0
LSReGen: Large-Scale Regional Generator via Backward Guidance Framework—0
LT-GAN: Self-Supervised GAN with Latent Transformation Detection—0
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions—0
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes—0
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics—0
Training-Free Sketch-Guided Diffusion with Latent Optimization—0
L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks—0
M2T: Masking Transformers Twice for Faster Decoding—0
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention—0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing—0
M6: A Chinese Multimodal Pretrainer—0
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing—0
Machine Apophenia: The Kaleidoscopic Generation of Architectural Images—0
ArtiFade: Learning to Generate High-quality Subject from Blemished Images—0
Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion 2.*—0
Training-Free Style Consistent Image Synthesis with Condition and Mask Guidance in E-Commerce—0
MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation—0
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders—0
Articulate That Object Part (ATOP): 3D Part Articulation from Text and Motion Personalization—0
MagiCapture: High-Resolution Multi-Concept Portrait Customization—0
MagicFace: Training-free Universal-Style Human Image Customized Synthesis—0
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models—0
MagicGeo: Training-Free Text-Guided Geometric Diagram Generation—0
MAGICK: A Large-scale Captioned Dataset from Matting Generated Images using Chroma Keying—0
Opt-In Art: Learning Art Styles Only from Few Examples—0
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising—0
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models—0
Training-free Stylized Text-to-Image Generation with Fast Inference—0
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis—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