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 38013850 of 6689 papers

TitleStatusHype
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion ModelsCode0
Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback LearningCode2
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free ApproachCode2
Generalizable Synthetic Image Detection via Language-guided Contrastive LearningCode1
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language ModelsCode2
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion ModelsCode1
Parts of Speech-Grounded Subspaces in Vision-Language ModelsCode1
VisorGPT: Learning Visual Prior via Generative Pre-TrainingCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image GenerationCode1
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy ProtectionCode1
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables0
Design a Delicious Lunchbox in StyleCode0
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by SelectionCode1
ControlVideo: Training-free Controllable Text-to-Video GenerationCode2
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image GenerationCode1
The CLIP Model is Secretly an Image-to-Prompt Converter0
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs CollaborationCode1
Quantifying the effect of X-ray scattering for data generation in real-time defect detectionCode0
iWarpGAN: Disentangling Identity and Style to Generate Synthetic Iris Images0
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model0
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions0
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
DiffCap: Exploring Continuous Diffusion on Image Captioning0
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector QuantizationCode1
ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection0
LaCon: Late-Constraint Diffusion for Steerable Guided Image SynthesisCode1
Generative Sliced MMD Flows with Riesz KernelsCode0
Few-shot 3D Shape Generation0
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots0
Constructing Dreams using Generative AI0
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models0
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the WildCode2
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationCode1
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture0
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation0
Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesCode1
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models0
Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language ModelCode2
AIwriting: Relations Between Image Generation and Digital Writing0
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language ModelsCode1
Private Gradient Estimation is Useful for Generative Modeling0
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language LearnersCode1
Swap Attention in Spatiotemporal Diffusions for Text-to-Video GenerationCode1
What You See is What You Read? Improving Text-Image Alignment EvaluationCode1
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models0
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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