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 476500 of 6689 papers

TitleStatusHype
TraceMark-LDM: Authenticatable Watermarking for Latent Diffusion Models via Binary-Guided Rearrangement0
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models0
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation0
TextCrafter: Accurately Rendering Multiple Texts in Complex Visual ScenesCode2
Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction0
Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging0
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression0
On Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation0
Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesCode0
Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis0
Patronus: Bringing Transparency to Diffusion Models with PrototypesCode0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers0
Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items0
Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure0
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation0
Harmonizing Visual Representations for Unified Multimodal Understanding and GenerationCode2
Evaluating Text-to-Image Synthesis with a Conditional Fréchet Distance0
Lumina-Image 2.0: A Unified and Efficient Image Generative FrameworkCode4
Model as a Game: On Numerical and Spatial Consistency for Generative Games0
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing0
Optimal Stepsize for Diffusion SamplingCode3
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning0
LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis0
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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