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 15761600 of 6689 papers

TitleStatusHype
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image SynthesisCode1
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image GenerationCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete AttributeCode1
Batch-efficient EigenDecomposition for Small and Medium MatricesCode1
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingCode1
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
3D-Aware Video GenerationCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
Generative Modelling With Inverse Heat DissipationCode1
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural NetworksCode1
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized ImagesCode1
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel GridsCode1
Write and Paint: Generative Vision-Language Models are Unified Modal LearnersCode1
Modeling Image Composition for Complex Scene GenerationCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsCode1
Accelerating Diffusion Models via Early Stop of the Diffusion ProcessCode1
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
Conditional Vector Graphics Generation for Music Cover ImagesCode1
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
Subspace Diffusion Generative ModelsCode1
OSSGAN: Open-Set Semi-Supervised Image GenerationCode1
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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