{"total":43,"rows":[{"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":"2411.04928","title":"DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion","created":"2024-11-07","cited_by_count":140,"area":"diffusion"},{"id":"2501.08331","title":"Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise","created":"2025-01-14","cited_by_count":117,"area":"diffusion"},{"id":"2506.05207","title":"Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning","created":"2025-06-05","cited_by_count":81,"area":"diffusion"},{"id":"2410.05677","title":"T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design","created":"2024-10-08","cited_by_count":54,"area":"diffusion"},{"id":"2509.19296","title":"Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation","created":"2025-09-23","cited_by_count":41,"area":"diffusion"},{"id":"2412.07776","title":"Video Motion Transfer with Diffusion Transformers","created":"2024-12-10","cited_by_count":39,"area":"diffusion"},{"id":"2501.16330","title":"RelightVid: Temporal-Consistent Diffusion Model for Video Relighting","created":"2025-01-27","cited_by_count":29,"area":"diffusion"},{"id":"2509.15130","title":"Taming Video Models for 3D and 4D Generation via Zero-Shot Camera Control","created":"2025-09-18","cited_by_count":18,"area":"diffusion"},{"id":"2503.21781","title":"VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models","created":"2025-03-27","cited_by_count":17,"area":"diffusion"},{"id":"2408.13413","title":"TVG: A Training-free Transition Video Generation Method with Diffusion Models","created":"2024-08-24","cited_by_count":15,"area":"diffusion"},{"id":"2503.17350","title":"Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer","created":"2025-03-21","cited_by_count":14,"area":"diffusion"},{"id":"2504.16081","title":"Survey of Video Diffusion Models: Foundations, Implementations, and Applications","created":"2025-04-22","cited_by_count":14,"area":"diffusion"},{"id":"2512.05076","title":"BulletTime: Decoupled Control of Time and Camera Pose for Video Generation","created":"2025-12-04","cited_by_count":14,"area":"diffusion"},{"id":"2603.06408","title":"Physical Simulator In-the-Loop Video Generation","created":"2026-03-06","cited_by_count":14,"area":"diffusion"},{"id":"2506.07177","title":"Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models","created":"2025-06-08","cited_by_count":11,"area":"diffusion"},{"id":"2412.01429","title":"CPA: Camera-pose-awareness Diffusion Transformer for Video Generation","created":"2024-12-02","cited_by_count":10,"area":"diffusion"},{"id":"2411.18375","title":"Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models","created":"2024-11-27","cited_by_count":8,"area":"diffusion"},{"id":"2506.23690","title":"SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation","created":"2025-06-30","cited_by_count":8,"area":"diffusion"},{"id":"2511.06271","title":"RelightMaster: Precise Video Relighting with Multi-plane Light Images","created":"2025-11-09","cited_by_count":8,"area":"diffusion"},{"id":"2604.15911","title":"Efficient Video Diffusion Models: Advancements and Challenges","created":"2026-04-17","cited_by_count":7,"area":"diffusion"},{"id":"2503.10342","title":"DreamInsert: Zero-Shot Image-to-Video Object Insertion from A Single Image","created":"2025-03-13","cited_by_count":6,"area":"diffusion"},{"id":"2504.21855","title":"ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling","created":"2025-04-30","cited_by_count":5,"area":"diffusion"},{"id":"2510.14179","title":"Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures","created":"2025-10-16","cited_by_count":4,"area":"diffusion"},{"id":"2412.07750","title":"Motion by Queries: Identity-Motion Trade-offs in Text-to-Video Generation","created":"2024-12-10","cited_by_count":3,"area":"diffusion"},{"id":"2502.13234","title":"MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching","created":"2025-02-18","cited_by_count":3,"area":"diffusion"},{"id":"2503.16983","title":"Enabling Versatile Controls for Video Diffusion Models","created":"2025-03-21","cited_by_count":3,"area":"diffusion"},{"id":"2503.19369","title":"EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models","created":"2025-03-25","cited_by_count":3,"area":"diffusion"},{"id":"2512.07500","title":"MultiMotion: Multi Subject Video Motion Transfer via Video Diffusion Transformer","created":"2025-12-08","cited_by_count":3,"area":"diffusion"},{"id":"2603.27083","title":"LightCtrl: Training-free Controllable Video Relighting","created":"2026-03-28","cited_by_count":3,"area":"diffusion"},{"id":"2506.23263","title":"Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis","created":"2025-06-29","cited_by_count":2,"area":"diffusion"},{"id":"2505.21593","title":"Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model","created":"2025-05-27","cited_by_count":1,"area":"diffusion"},{"id":"2512.22175","title":"Characterizing Motion Encoding in Video Diffusion Timesteps","created":"2025-12-18","cited_by_count":1,"area":"diffusion"},{"id":"2601.01955","title":"MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization","created":"2026-01-05","cited_by_count":0,"area":"diffusion"},{"id":"2604.00853","title":"MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer","created":"2026-04-01","cited_by_count":0,"area":"diffusion"},{"id":"2605.14136","title":"TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.24509","title":"{\\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation","created":"2026-05-23","cited_by_count":0,"area":"diffusion"},{"id":"2606.27741","title":"SIFT: Self-Imagination Fine-Tuning for Physically Plausible Motion in Video Diffusion Models","created":"2026-06-26","cited_by_count":0,"area":"diffusion"},{"id":"2607.01869","title":"QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers","created":"2026-07-02","cited_by_count":0,"area":"diffusion"},{"id":"2607.05056","title":"Consistent and Editable: A Balanced Framework for Text-Guided Video Editing","created":"2026-07-06","cited_by_count":0,"area":"diffusion"},{"id":"2607.11081","title":"Controlling Motion Transfer in Diffusion Transformers via Attention Heads","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.21455","title":"CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation","created":"2026-09-18","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}