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 2501–2525 of 6689 papers

TitleStatusHype
FlashFace: Human Image Personalization with High-fidelity Identity PreservationCode3
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer—0
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise—0
SDXS: Real-Time One-Step Latent Diffusion Models with Image ConditionsCode4
Multi-Scale Texture Loss for CT denoising with GANsCode0
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models—0
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation—0
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image GenerationCode0
R3CD: Scene Graph to Image Generation with Relation-aware Compositional Contrastive Control Diffusion—0
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI ReconstructionCode1
Advanced Feature Manipulation for Enhanced Change Detection Leveraging Natural Language Models—0
Long-CLIP: Unlocking the Long-Text Capability of CLIPCode4
CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion modelCode1
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration—0
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information—0
Generative Active Learning for Image Synthesis PersonalizationCode0
Geometric Generative Models based on Morphological Equivariant PDEs and GANs—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation—0
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion ModelsCode2
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image EditingCode3
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping—0
Analysing Diffusion Segmentation for Medical Images—0
Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning Method—0
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
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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