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 43264350 of 6689 papers

TitleStatusHype
Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering0
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models0
Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images0
RelightVid: Temporal-Consistent Diffusion Model for Video Relighting0
ReMOVE: A Reference-free Metric for Object Erasure0
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms0
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model0
AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks0
GlyphDiffusion: Text Generation as Image Generation0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models0
A Hybrid Model for Identity Obfuscation by Face Replacement0
Replay-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation0
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis0
Unsupervised Person Image Synthesis in Arbitrary Poses0
A Human Eye-based Text Color Scheme Generation Method for Image Synthesis0
Representation Learning by Rotating Your Faces0
Representation learning with CGAN for casual inference0
Unsupervised Region-Based Image Editing of Denoising Diffusion Models0
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning0
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions0
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis0
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection0
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation0
Unsupervised Structure-Consistent Image-to-Image Translation0
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning0
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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