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 11011125 of 6689 papers

TitleStatusHype
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Plug-in Diffusion Model for Sequential RecommendationCode1
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
New Job, New Gender? Measuring the Social Bias in Image Generation ModelsCode1
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End PipelineCode1
ZONE: Zero-Shot Instruction-Guided Local EditingCode1
Bellman Optimal Stepsize Straightening of Flow-Matching ModelsCode1
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven GenerationCode1
Cross Initialization for Personalized Text-to-Image GenerationCode1
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing ApplicationsCode1
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image GenerationCode1
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis EvaluationCode1
Fast Diffusion-Based Counterfactuals for Shortcut Removal and GenerationCode1
Diffusion Models With Learned Adaptive NoiseCode1
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion ModelCode1
Decoupled Textual Embeddings for Customized Image GenerationCode1
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion ModelCode1
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion ModelsCode1
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative ModelsCode1
Rich Human Feedback for Text-to-Image GenerationCode1
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document GenerationCode1
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
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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