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 16511675 of 6689 papers

TitleStatusHype
Attribute-guided image generation from layoutCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
Diffusion-based Data Augmentation for Nuclei Image SegmentationCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Contextual Convolutional Neural NetworksCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Image Understanding Makes for A Good Tokenizer for Image GenerationCode1
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-TrainingCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
ImaginaryNet: Learning Object Detectors without Real Images and AnnotationsCode1
Make-A-Video: Text-to-Video Generation without Text-Video DataCode1
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image ManipulationCode1
Efficient Diffusion Models: A Comprehensive Survey from Principles to PracticesCode1
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided DiffusionCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
AITTI: Learning Adaptive Inclusive Token for Text-to-Image GenerationCode1
Implicit Rank-Minimizing AutoencoderCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-NetCode1
Effective and Efficient Masked Image Generation ModelsCode1
Efficient Content-Based Sparse Attention with Routing TransformersCode1
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingCode1
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksCode1
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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