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 13011350 of 6689 papers

TitleStatusHype
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsCode1
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map AlignmentCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
On the Robustness of Latent Diffusion ModelsCode1
Norm-guided latent space exploration for text-to-image generationCode1
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned GenerationCode1
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image SynthesisCode1
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream NetworkCode1
Beyond Surface Statistics: Scene Representations in a Latent Diffusion ModelCode1
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsCode1
On the Difference of BERT-style and CLIP-style Text EncodersCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic modelCode1
Detector Guidance for Multi-Object Text-to-Image GenerationCode1
An Attentive-based Generative Model for Medical Image SynthesisCode1
The Information Pathways Hypothesis: Transformers are Dynamic Self-EnsemblesCode1
Extracting Reward Functions from Diffusion ModelsCode1
Diffusion Self-Guidance for Controllable Image GenerationCode1
Learning Disentangled Prompts for Compositional Image SynthesisCode1
Image generation with shortest path diffusionCode1
Interactive Character Control with Auto-Regressive Motion Diffusion ModelsCode1
ReFACT: Updating Text-to-Image Models by Editing the Text EncoderCode1
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationCode1
Inferring and Leveraging Parts from Object Shape for Improving Semantic Image SynthesisCode1
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Nested Diffusion Processes for Anytime Image GenerationCode1
Towards Accurate Post-training Quantization for Diffusion ModelsCode1
Real-World Image Variation by Aligning Diffusion Inversion ChainCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Parallel Sampling of Diffusion ModelsCode1
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion ModelsCode1
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion ModelsCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
Generalizable Synthetic Image Detection via Language-guided Contrastive LearningCode1
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image GenerationCode1
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy ProtectionCode1
VisorGPT: Learning Visual Prior via Generative Pre-TrainingCode1
Parts of Speech-Grounded Subspaces in Vision-Language ModelsCode1
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion ModelsCode1
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by SelectionCode1
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image GenerationCode1
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs CollaborationCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector QuantizationCode1
LaCon: Late-Constraint Diffusion for Steerable Guided Image SynthesisCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Swap Attention in Spatiotemporal Diffusions for Text-to-Video GenerationCode1
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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