{"total":60,"rows":[{"id":"2403.03206","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","created":"2024-03-05","cited_by_count":4181,"area":"diffusion"},{"id":"2401.12945","title":"Lumiere: A Space-Time Diffusion Model for Video Generation","created":"2024-01-23","cited_by_count":455,"area":"diffusion"},{"id":"2406.13897","title":"CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets","created":"2024-05-30","cited_by_count":455,"area":"diffusion"},{"id":"2405.10314","title":"CAT3D: Create Anything in 3D with Multi-View Diffusion Models","created":"2024-05-16","cited_by_count":432,"area":"diffusion"},{"id":"2312.02981","title":"ReconFusion: 3D Reconstruction with Diffusion Priors","created":"2023-12-05","cited_by_count":318,"area":"diffusion"},{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2407.12781","title":"VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control","created":"2024-07-17","cited_by_count":156,"area":"diffusion"},{"id":"2411.18673","title":"AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers","created":"2024-11-27","cited_by_count":154,"area":"diffusion"},{"id":"2405.17414","title":"Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control","created":"2024-05-27","cited_by_count":117,"area":"diffusion"},{"id":"2411.14430","title":"Stable Flow: Vital Layers for Training-Free Image Editing","created":"2024-11-21","cited_by_count":113,"area":"diffusion"},{"id":"2406.17763","title":"DiffusionPDE: Generative PDE-Solving Under Partial Observation","created":"2024-06-25","cited_by_count":108,"area":"diffusion"},{"id":"2312.02256","title":"EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation","created":"2023-12-04","cited_by_count":89,"area":"diffusion"},{"id":"2406.11138","title":"Diffusion Models in Low-Level Vision: A Survey","created":"2024-06-17","cited_by_count":74,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2312.02432","title":"Orthogonal Adaptation for Modular Customization of Diffusion Models","created":"2023-12-05","cited_by_count":70,"area":"diffusion"},{"id":"2312.11417","title":"PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models","created":"2023-12-18","cited_by_count":66,"area":"diffusion"},{"id":"2311.10093","title":"The Chosen One: Consistent Characters in Text-to-Image Diffusion Models","created":"2023-11-16","cited_by_count":63,"area":"diffusion"},{"id":"2403.10615","title":"LightIt: Illumination Modeling and Control for Diffusion Models","created":"2024-03-15","cited_by_count":57,"area":"diffusion"},{"id":"2407.00783","title":"Diffusion Models and Representation Learning: A Survey","created":"2024-06-30","cited_by_count":54,"area":"diffusion"},{"id":"2411.18616","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","created":"2024-11-27","cited_by_count":47,"area":"diffusion"},{"id":"2407.07111","title":"Diffusion Model-Based Video Editing: A Survey","created":"2024-06-26","cited_by_count":44,"area":"diffusion"},{"id":"2406.09413","title":"Interpreting the Weight Space of Customized Diffusion Models","created":"2024-06-13","cited_by_count":36,"area":"diffusion"},{"id":"2312.01409","title":"Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models","created":"2023-12-03","cited_by_count":30,"area":"diffusion"},{"id":"2402.04930","title":"Blue noise for diffusion models","created":"2024-02-07","cited_by_count":29,"area":"diffusion"},{"id":"2405.05538","title":"A Survey on Personalized Content Synthesis with Diffusion Models","created":"2024-05-09","cited_by_count":29,"area":"diffusion"},{"id":"2409.19365","title":"Conditional Image Synthesis with Diffusion Models: A Survey","created":"2024-09-28","cited_by_count":29,"area":"diffusion"},{"id":"2410.18974","title":"3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation","created":"2024-10-24","cited_by_count":19,"area":"diffusion"},{"id":"2504.05304","title":"Gaussian Mixture Flow Matching Models","created":"2025-04-07","cited_by_count":17,"area":"diffusion"},{"id":"2312.00870","title":"3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing","created":"2023-12-01","cited_by_count":15,"area":"diffusion"},{"id":"2505.03432","title":"Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients","created":"2025-05-06","cited_by_count":15,"area":"diffusion"},{"id":"2503.01845","title":"Denoising Functional Maps: Diffusion Models for Shape Correspondence","created":"2025-03-03","cited_by_count":14,"area":"diffusion"},{"id":"2311.15435","title":"Functional Diffusion","created":"2023-11-26","cited_by_count":13,"area":"diffusion"},{"id":"2409.00230","title":"Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations","created":"2024-08-30","cited_by_count":13,"area":"diffusion"},{"id":"2408.00001","title":"Replication in Visual Diffusion Models: A Survey and Outlook","created":"2024-07-07","cited_by_count":11,"area":"diffusion"},{"id":"2504.13226","title":"Image Editing with Diffusion Models: A Survey","created":"2025-04-17","cited_by_count":8,"area":"diffusion"},{"id":"2411.18702","title":"Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models","created":"2024-11-27","cited_by_count":6,"area":"diffusion"},{"id":"2312.14977","title":"Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians","created":"2023-12-21","cited_by_count":5,"area":"diffusion"},{"id":"2407.10592","title":"InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture","created":"2024-07-15","cited_by_count":5,"area":"diffusion"},{"id":"2508.03034","title":"MoCA: Identity-Preserving Text-to-Video Generation via Mixture of Cross Attention","created":"2025-08-05","cited_by_count":5,"area":"diffusion"},{"id":"2407.04191","title":"GazeFusion: Saliency-Guided Image Generation","created":"2024-03-16","cited_by_count":4,"area":"diffusion"},{"id":"2511.00103","title":"FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video","created":"2025-10-30","cited_by_count":4,"area":"diffusion"},{"id":"2312.17234","title":"Personalized Restoration via Dual-Pivot Tuning","created":"2023-12-28","cited_by_count":3,"area":"diffusion"},{"id":"2510.04504","title":"Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation","created":"2025-10-06","cited_by_count":3,"area":"diffusion"},{"id":"2511.22069","title":"Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian","created":"2025-11-27","cited_by_count":3,"area":"diffusion"},{"id":"2401.14379","title":"UrbanGenAI: Reconstructing Urban Landscapes using Panoptic Segmentation and Diffusion Models","created":"2024-01-25","cited_by_count":2,"area":"diffusion"},{"id":"2504.03468","title":"D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformations","created":"2025-04-04","cited_by_count":2,"area":"diffusion"},{"id":"2504.17628","title":"Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization","created":"2025-04-24","cited_by_count":1,"area":"diffusion"},{"id":"2504.19402","title":"Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations","created":"2025-04-28","cited_by_count":1,"area":"diffusion"},{"id":"2511.12631","title":"Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation","created":"2025-11-16","cited_by_count":1,"area":"diffusion"},{"id":"2605.22743","title":"SeqLoRA: Bilevel Orthogonal Adaptation for Continual Multi-Concept Generation","created":"2026-05-21","cited_by_count":1,"area":"diffusion"},{"id":"2606.21608","title":"CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Images","created":"2026-06-19","cited_by_count":1,"area":"diffusion"},{"id":"2312.04654","title":"NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion","created":"2023-12-07","cited_by_count":0,"area":"diffusion"},{"id":"2403.07247","title":"GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation","created":"2024-03-12","cited_by_count":0,"area":"diffusion"},{"id":"2501.05226","title":"Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes","created":"2025-01-09","cited_by_count":0,"area":"diffusion"},{"id":"2508.02482","title":"Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation","created":"2025-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2511.08075","title":"CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion","created":"2025-11-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.23682","title":"Keep The Essentials: Efficient Reference Conditioned Generation via Token Dropping","created":"2026-06-22","cited_by_count":0,"area":"diffusion"},{"id":"2608.25858","title":"Precipitation Downscaling Using Foundation Model-Conditioned Diffusion","created":"2026-08-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.29581","title":"Long-Tail Adaptive Flow Matching with Explicit Conditional Consistency Guidance for Precise Multimodal Face Synthesis","created":"2026-09-14","cited_by_count":0,"area":"diffusion"},{"id":"2610.13690","title":"Transformer-based In-Context Score Operator Learning for Diffusion Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}