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 59766000 of 6689 papers

TitleStatusHype
Focusing Image Generation to Mitigate Spurious Correlations0
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation0
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN0
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization0
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation0
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers0
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation0
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models0
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering0
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution0
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis0
Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation0
Editing 3D Scenes via Text Prompts without Retraining0
A Comprehensive Survey on Synthetic Infrared Image synthesis0
Text-driven Visual Synthesis with Latent Diffusion Prior0
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps0
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency0
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions0
FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation0
Fourier-CPPNs for Image Synthesis0
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling0
FRAbench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities0
Behavior Optimized Image Generation0
FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps0
Frame by Familiar Frame: Understanding Replication in Video Diffusion Models0
Show:102550
← PrevPage 240 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