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

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Showing 1551–1600 of 6689 papers

TitleStatusHype
Exploiting Cultural Biases via Homoglyphs in Text-to-Image SynthesisCode1
One-Shot Synthesis of Images and Segmentation MasksCode1
AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal GenerationCode1
A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed Real-World DataCode1
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image TransformationCode1
Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range ImagingCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face GenerationCode1
Discovering Transferable Forensic Features for CNN-generated Images DetectionCode1
Improving GANs for Long-Tailed Data through Group Spectral RegularizationCode1
Out-of-distribution Detection via Frequency-regularized Generative ModelsCode1
Paint2Pix: Interactive Painting based Progressive Image Synthesis and EditingCode1
StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3Code1
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion ModelCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
Analog Bits: Generating Discrete Data using Diffusion Models with Self-ConditioningCode1
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield NetworksCode1
Keys to Better Image Inpainting: Structure and Texture Go Hand in HandCode1
Cross Attention Based Style Distribution for Controllable Person Image SynthesisCode1
Generator Knows What Discriminator Should Learn in Unconditional GANsCode1
KUNet: Imaging Knowledge-Inspired Single HDR Image ReconstructionCode1
RealFlow: EM-based Realistic Optical Flow Dataset Generation from VideosCode1
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image SynthesisCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and RestorationCode1
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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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified