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 1701–1750 of 6689 papers

TitleStatusHype
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?Code1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Attribute-guided image generation from layoutCode1
Contextual Convolutional Neural NetworksCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait EditingCode1
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
Diffusion Normalizing FlowCode1
Capability-aware Prompt Reformulation Learning for Text-to-Image GenerationCode1
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image SynthesisCode1
AITTI: Learning Adaptive Inclusive Token for Text-to-Image GenerationCode1
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure ImagesCode1
Integrating Visuospatial, Linguistic, and Commonsense Structure into Story VisualizationCode1
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic modelCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
Content-Aware GAN CompressionCode1
3D-aware Image Synthesis via Learning Structural and Textural RepresentationsCode1
Elucidating the design space of language models for image generationCode1
Diffusion Self-Guidance for Controllable Image GenerationCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
Attentive Normalization for Conditional Image GenerationCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
METR: Image Watermarking with Large Number of Unique MessagesCode1
Meta ControlNet: Enhancing Task Adaptation via Meta LearningCode1
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from FacesCode1
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
DiffX: Guide Your Layout to Cross-Modal Generative ModelingCode1
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationCode1
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Meta Internal LearningCode1
Adversarial Generation of Continuous ImagesCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
iPLAN: Interactive and Procedural Layout PlanningCode1
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion ModelsCode1
AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal GenerationCode1
iSeg: An Iterative Refinement-based Framework for Training-free SegmentationCode1
Efficient-VDVAE: Less is moreCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion ExtrapolationCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Iterative Gaussianization: from ICA to Random RotationsCode1
Meta-Learning via Classifier(-free) Diffusion GuidanceCode1
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion ModelsCode1
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood DiscrepancyCode1
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream NetworkCode1
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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