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 18761900 of 6689 papers

TitleStatusHype
Masked and Adaptive Transformer for Exemplar Based Image TranslationCode1
Masked Diffusion Models Are Fast Distribution LearnersCode1
Conditional Image Synthesis With Auxiliary Classifier GANsCode1
Conditional Image Generation with Score-Based Diffusion ModelsCode1
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel SynthesisCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image GenerationCode1
NeuroGen: activation optimized image synthesis for discovery neuroscienceCode1
Noise Map Guidance: Inversion with Spatial Context for Real Image EditingCode1
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion PathCode1
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT ImagesCode1
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese DishesCode1
Elucidating the Exposure Bias in Diffusion ModelsCode1
Conditional Image Generation and Manipulation for User-Specified ContentCode1
Elucidating the design space of language models for image generationCode1
Elucidating the solution space of extended reverse-time SDE for diffusion modelsCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationCode1
MVPbev: Multi-view Perspective Image Generation from BEV with Test-time Controllability and GeneralizabilityCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
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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