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 626650 of 6689 papers

TitleStatusHype
LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference OptimizationCode2
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?0
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation ModelCode2
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast AsiaCode0
AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"0
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping0
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending0
NFIG: Autoregressive Image Generation with Next-Frequency Prediction0
Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting0
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer0
Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help0
Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation AlignmentCode1
Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation0
NukesFormers: Unpaired Hyperspectral Image Generation with Non-Uniform Domain Alignment0
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image GenerationCode4
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion ModelsCode1
V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image GenerationCode1
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface0
Effective and Efficient Masked Image Generation ModelsCode1
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation0
ARMOR v0.1: Empowering Autoregressive Multimodal Understanding Model with Interleaved Multimodal Generation via Asymmetric Synergy0
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image GenerationCode0
Generative modelling with jump-diffusionsCode0
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability0
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching0
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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