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 53515375 of 6689 papers

TitleStatusHype
Watermark Faker: Towards Forgery of Digital Image WatermarkingCode1
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms0
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC_4Net0
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
Generation and Simulation of Yeast Microscopy Imagery with Deep Learning0
Progressive and Aligned Pose Attention Transfer for Person Image GenerationCode1
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous VariableCode0
Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacementCode0
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning0
Generic Perceptual Loss for Modeling Structured Output Dependencies0
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets0
Deep Learning for Chest X-ray Analysis: A Survey0
Assessment of image generation by quantum annealer0
Deep Consensus Learning0
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial NetworksCode0
Unsupervised Image Transformation Learning via Generative Adversarial Networks0
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement0
HumanGAN: A Generative Model of Humans Images0
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-LocalizationCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Spectral Tensor Train Parameterization of Deep Learning LayersCode1
Repurposing GANs for One-shot Semantic Part SegmentationCode1
PISE: Person Image Synthesis and Editing with Decoupled GANCode1
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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