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 13511375 of 6689 papers

TitleStatusHype
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language ModelsCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
Swap Attention in Spatiotemporal Diffusions for Text-to-Video GenerationCode1
What You See is What You Read? Improving Text-Image Alignment EvaluationCode1
Pyramid Diffusion Models For Low-light Image EnhancementCode1
Controllable Mind Visual Diffusion ModelCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input ViewsCode1
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language ModelsCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data PoisoningCode1
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Semantic-aware Generation of Multi-view Portrait DrawingsCode1
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational AutoencoderCode1
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
Generating images of rare concepts using pre-trained diffusion modelsCode1
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional GenerationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
Show:102550
← PrevPage 55 of 268Next →

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