{"total":69,"rows":[{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863,"area":"diffusion"},{"id":"2209.03003","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","created":"2022-09-07","cited_by_count":3700,"area":"diffusion"},{"id":"2111.05826","title":"Palette: Image-to-Image Diffusion Models","created":"2021-11-10","cited_by_count":1300,"area":"diffusion"},{"id":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2211.01324","title":"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers","created":"2022-11-02","cited_by_count":931,"area":"diffusion"},{"id":"2210.03142","title":"On Distillation of Guided Diffusion Models","created":"2022-10-06","cited_by_count":725,"area":"diffusion"},{"id":"2301.12503","title":"AudioLDM: Text-to-Audio Generation with Latent Diffusion Models","created":"2023-01-29","cited_by_count":599,"area":"diffusion"},{"id":"2111.15640","title":"Diffusion Autoencoders: Toward a Meaningful and Decodable Representation","created":"2021-11-30","cited_by_count":449,"area":"diffusion"},{"id":"2212.02500","title":"PhysDiff: Physics-Guided Human Motion Diffusion Model","created":"2022-12-05","cited_by_count":368,"area":"diffusion"},{"id":"2112.07068","title":"Score-Based Generative Modeling with Critically-Damped Langevin Diffusion","created":"2021-12-14","cited_by_count":233,"area":"diffusion"},{"id":"2206.09012","title":"Diffusion models as plug-and-play priors","created":"2022-06-17","cited_by_count":231,"area":"diffusion"},{"id":"2203.08382","title":"Dual Diffusion Implicit Bridges for Image-to-Image Translation","created":"2022-03-16","cited_by_count":213,"area":"diffusion"},{"id":"2305.01140","title":"Geometric Latent Diffusion Models for 3D Molecule Generation","created":"2023-05-02","cited_by_count":186,"area":"diffusion"},{"id":"2307.08698","title":"Flow Matching in Latent Space","created":"2023-07-17","cited_by_count":160,"area":"diffusion"},{"id":"2211.06956","title":"Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding","created":"2022-11-13","cited_by_count":144,"area":"diffusion"},{"id":"2211.13757","title":"Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions","created":"2022-11-24","cited_by_count":133,"area":"diffusion"},{"id":"2312.03606","title":"DiffusionSat: A Generative Foundation Model for Satellite Imagery","created":"2023-12-06","cited_by_count":131,"area":"diffusion"},{"id":"2303.12538","title":"Affordance Diffusion: Synthesizing Hand-Object Interactions","created":"2023-03-21","cited_by_count":110,"area":"diffusion"},{"id":"2312.02139","title":"DiffiT: Diffusion Vision Transformers for Image Generation","created":"2023-12-04","cited_by_count":106,"area":"diffusion"},{"id":"2303.05762","title":"TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets","created":"2023-03-10","cited_by_count":88,"area":"diffusion"},{"id":"2206.05895","title":"Latent Diffusion Energy-Based Model for Interpretable Text Modeling","created":"2022-06-13","cited_by_count":67,"area":"diffusion"},{"id":"2211.16487","title":"DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models","created":"2022-11-29","cited_by_count":65,"area":"diffusion"},{"id":"2212.12990","title":"Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models","created":"2022-12-26","cited_by_count":54,"area":"diffusion"},{"id":"2209.11888","title":"JPEG Artifact Correction using Denoising Diffusion Restoration Models","created":"2022-09-23","cited_by_count":47,"area":"diffusion"},{"id":"2205.14807","title":"BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis","created":"2022-05-30","cited_by_count":44,"area":"diffusion"},{"id":"2205.15463","title":"Few-Shot Diffusion Models","created":"2022-05-30","cited_by_count":38,"area":"diffusion"},{"id":"2306.16329","title":"DiffComplete: Diffusion-based Generative 3D Shape Completion","created":"2023-06-28","cited_by_count":35,"area":"diffusion"},{"id":"2306.00354","title":"Addressing Negative Transfer in Diffusion Models","created":"2023-06-01","cited_by_count":33,"area":"diffusion"},{"id":"2408.03400","title":"Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey","created":"2024-08-06","cited_by_count":32,"area":"diffusion"},{"id":"2312.01985","title":"UniGS: Unified Representation for Image Generation and Segmentation","created":"2023-12-04","cited_by_count":29,"area":"diffusion"},{"id":"2303.10056","title":"GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation","created":"2023-03-17","cited_by_count":25,"area":"diffusion"},{"id":"2211.03264","title":"Few-shot Image Generation with Diffusion Models","created":"2022-11-07","cited_by_count":21,"area":"diffusion"},{"id":"2206.11474","title":"Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation","created":"2022-06-23","cited_by_count":20,"area":"diffusion"},{"id":"2211.10794","title":"NVDiff: Graph Generation through the Diffusion of Node Vectors","created":"2022-11-19","cited_by_count":18,"area":"diffusion"},{"id":"2303.01748","title":"A Complete Recipe for Diffusion Generative Models","created":"2023-03-03","cited_by_count":17,"area":"diffusion"},{"id":"2312.10993","title":"Realistic Human Motion Generation with Cross-Diffusion Models","created":"2023-12-18","cited_by_count":17,"area":"diffusion"},{"id":"2409.06065","title":"DiffusionPen: Towards Controlling the Style of Handwritten Text Generation","created":"2024-09-09","cited_by_count":16,"area":"diffusion"},{"id":"2306.14153","title":"DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data","created":"2023-06-25","cited_by_count":15,"area":"diffusion"},{"id":"2410.20155","title":"Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models","created":"2024-10-26","cited_by_count":15,"area":"diffusion"},{"id":"2304.09479","title":"DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows","created":"2023-04-19","cited_by_count":14,"area":"diffusion"},{"id":"2401.03140","title":"Fair Sampling in Diffusion Models through Switching Mechanism","created":"2024-01-06","cited_by_count":12,"area":"diffusion"},{"id":"2306.02236","title":"Detector Guidance for Multi-Object Text-to-Image Generation","created":"2023-06-04","cited_by_count":11,"area":"diffusion"},{"id":"2311.12090","title":"FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation","created":"2023-11-20","cited_by_count":9,"area":"diffusion"},{"id":"2306.01900","title":"Conditional Generation from Unconditional Diffusion Models using Denoiser Representations","created":"2023-06-02","cited_by_count":7,"area":"diffusion"},{"id":"2309.01274","title":"Diffusion Models with Deterministic Normalizing Flow Priors","created":"2023-09-03","cited_by_count":7,"area":"diffusion"},{"id":"2407.02143","title":"Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection","created":"2024-07-02","cited_by_count":7,"area":"diffusion"},{"id":"2210.08573","title":"DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models","created":"2022-10-16","cited_by_count":5,"area":"diffusion"},{"id":"2312.04465","title":"FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion Models","created":"2023-12-07","cited_by_count":5,"area":"diffusion"},{"id":"2407.10285","title":"Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models","created":"2024-07-14","cited_by_count":5,"area":"diffusion"},{"id":"2410.14758","title":"Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion","created":"2024-10-18","cited_by_count":5,"area":"diffusion"},{"id":"2502.04491","title":"Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning","created":"2025-02-06","cited_by_count":5,"area":"diffusion"},{"id":"2303.04635","title":"Diffusing Gaussian Mixtures for Generating Categorical Data","created":"2023-03-08","cited_by_count":4,"area":"diffusion"},{"id":"2307.05899","title":"DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation","created":"2023-07-12","cited_by_count":4,"area":"diffusion"},{"id":"2311.03959","title":"Improving the Effectiveness of Deep Generative Data","created":"2023-11-07","cited_by_count":4,"area":"diffusion"},{"id":"2406.18417","title":"Towards diffusion models for large-scale sea-ice modelling","created":"2024-06-26","cited_by_count":4,"area":"diffusion"},{"id":"2406.20085","title":"Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language","created":"2024-06-28","cited_by_count":4,"area":"diffusion"},{"id":"2312.13307","title":"Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models","created":"2023-12-20","cited_by_count":3,"area":"diffusion"},{"id":"2502.19047","title":"A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models","created":"2025-02-26","cited_by_count":3,"area":"diffusion"},{"id":"2507.09103","title":"CoVAE: Consistency Training of Variational Autoencoders","created":"2025-07-12","cited_by_count":3,"area":"diffusion"},{"id":"2412.01787","title":"Pretrained Reversible Generation as Unsupervised Visual Representation Learning","created":"2024-11-29","cited_by_count":2,"area":"diffusion"},{"id":"2509.07530","title":"Universal Few-Shot Spatial Control for Diffusion Models","created":"2025-09-09","cited_by_count":2,"area":"diffusion"},{"id":"2210.12192","title":"Conditional Diffusion with Less Explicit Guidance via Model Predictive Control","created":"2022-10-21","cited_by_count":1,"area":"diffusion"},{"id":"2307.15988","title":"RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects","created":"2023-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2312.04810","title":"RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models","created":"2023-12-08","cited_by_count":1,"area":"diffusion"},{"id":"2312.06285","title":"Compensation Sampling for Improved Convergence in Diffusion Models","created":"2023-12-11","cited_by_count":1,"area":"diffusion"},{"id":"2306.08251","title":"GBSD: Generative Bokeh with Stage Diffusion","created":"2023-06-14","cited_by_count":0,"area":"diffusion"},{"id":"2502.17880","title":"VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution","created":"2025-02-25","cited_by_count":0,"area":"diffusion"},{"id":"2504.09513","title":"DiffuMural: Restoring Dunhuang Murals with Multi-scale Diffusion","created":"2025-04-13","cited_by_count":0,"area":"diffusion"},{"id":"2608.25862","title":"Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation","created":"2026-08-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}