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 30763100 of 6689 papers

TitleStatusHype
IA-T2I: Internet-Augmented Text-to-Image Generation0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation0
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing0
Decouple-Then-Merge: Towards Better Training for Diffusion Models0
ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition0
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models0
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning0
Glauber Generative Model: Discrete Diffusion Models via Binary Classification0
ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning0
Designing GANs: A Likelihood Ratio Approach0
Identifying and Mitigating the Security Risks of Generative AI0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts0
Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition0
Identity Encoder for Personalized Diffusion0
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos0
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning0
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform0
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment0
IFaceUV: Intuitive Motion Facial Image Generation by Identity Preservation via UV map0
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation0
Grand Challenge of 106-Point Facial Landmark Localization0
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation0
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data0
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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