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 10011025 of 6689 papers

TitleStatusHype
AutoPresent: Designing Structured Visuals from ScratchCode2
Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model0
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for FreeCode0
MLLM-as-a-Judge for Image Safety without Human Labeling0
Dual Diffusion for Unified Image Generation and UnderstandingCode2
Text-to-Image GAN with Pretrained Representations0
PQD: Post-training Quantization for Efficient Diffusion Models0
Quantum Diffusion Model for Quark and Gluon Jet GenerationCode0
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation0
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing ControlCode2
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis0
Motion Transfer-Driven intra-class data augmentation for Finger Vein RecognitionCode0
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment0
Open-Sora: Democratizing Efficient Video Production for AllCode13
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian PerturbationCode1
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models0
Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models0
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales0
Focusing Image Generation to Mitigate Spurious Correlations0
P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision0
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation0
Protective Perturbations against Unauthorized Data Usage in Diffusion-based Image Generation0
Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries0
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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