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 11761200 of 6689 papers

TitleStatusHype
Image Synthesis under Limited Data: A Survey and TaxonomyCode1
Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image GenerationCode1
Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion ModelCode1
Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsCode1
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image TransitionCode1
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
Image Shape Manipulation from a Single Augmented Training SampleCode1
Image Super-Resolution via Iterative RefinementCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model StatisticsCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case StudiesCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Image generation with shortest path diffusionCode1
Image Generators with Conditionally-Independent Pixel SynthesisCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
Benchmarking Spatial Relationships in Text-to-Image GenerationCode1
Diverse Image Generation via Self-Conditioned GANsCode1
Benchmarking Counterfactual Image GenerationCode1
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingCode1
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized CodebaseCode1
Bellman Optimal Stepsize Straightening of Flow-Matching ModelsCode1
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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