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 876900 of 6689 papers

TitleStatusHype
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models0
GPS as a Control Signal for Image Generation0
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal ConditionsCode0
Parallel Sequence Modeling via Generalized Spatial Propagation Network0
Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistsCode0
Are generative models fair? A study of racial bias in dermatological image generation0
Nested Annealed Training Scheme for Generative Adversarial Networks0
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANsCode4
Ditto: Accelerating Diffusion Model via Temporal Value Similarity0
Block Flow: Learning Straight Flow on Data BlocksCode0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP0
Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked DiffusionCode0
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment0
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency0
PIXELS: Progressive Image Xemplar-based Editing with Latent SurgeryCode1
SVIA: A Street View Image Anonymization Framework for Self-Driving ApplicationsCode0
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation0
SEAL: Entangled White-box Watermarks on Low-Rank Adaptation0
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image GenerationCode2
Dynamic Neural Style Transfer for Artistic Image Generation using VGG190
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps0
SHYI: Action Support for Contrastive Learning in High-Fidelity Text-to-Image Generation0
Complexity Control Facilitates Reasoning-Based Compositional Generalization in TransformersCode0
Enhanced Multi-Scale Cross-Attention for Person Image Generation0
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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