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 17011750 of 6689 papers

TitleStatusHype
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text EncoderCode2
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingCode1
Improving Virtual Try-On with Garment-focused Diffusion ModelsCode1
Scribble-Guided Diffusion for Training-free Text-to-Image GenerationCode1
Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and EducationCode0
CFCPalsy: Facial Image Synthesis with Cross-Fusion Cycle Diffusion Model for Facial Paralysis IndividualsCode0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process0
Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion ModelsCode3
Controllable retinal image synthesis using conditional StyleGAN and latent space manipulation for improved diagnosis and grading of diabetic retinopathy0
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation0
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values0
SVS-GAN: Leveraging GANs for Semantic Video Synthesis0
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling0
Sequential Posterior Sampling with Diffusion Models0
TERD: A Unified Framework for Safeguarding Diffusion Models Against BackdoorsCode0
Training-Free Style Consistent Image Synthesis with Condition and Mask Guidance in E-Commerce0
SpotActor: Training-Free Layout-Controlled Consistent Image Generation0
Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis0
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image GenerationCode0
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks0
Bi-modality Images Transfer with a Discrete Process Matching Method0
VILA-U: a Unified Foundation Model Integrating Visual Understanding and GenerationCode3
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual GenerationCode4
Enhancing digital core image resolution using optimal upscaling algorithm: with application to paired SEM images0
ArtiFade: Learning to Generate High-quality Subject from Blemished Images0
Blended Latent Diffusion under Attention Control for Real-World Video Editing0
iSeg: An Iterative Refinement-based Framework for Training-free SegmentationCode1
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilitiesCode1
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image EditingCode1
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects0
Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis0
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion ModelsCode2
QID^2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data0
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing0
Disentangling Mean Embeddings for Better Diagnostics of Image GeneratorsCode0
SPDiffusion: Semantic Protection Diffusion for Multi-concept Text-to-image Generation0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
ReMOVE: A Reference-free Metric for Object Erasure0
Training-Free Sketch-Guided Diffusion with Latent Optimization0
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization0
Text-to-Image Generation Via Energy-Based CLIP0
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers0
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder DecompositionCode0
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content0
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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