{"total":94,"rows":[{"id":"2204.03458","title":"Video Diffusion Models","created":"2022-04-07","cited_by_count":2305,"area":"diffusion"},{"id":"2304.08818","title":"Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models","created":"2023-04-18","cited_by_count":1476,"area":"diffusion"},{"id":"2211.11018","title":"MagicVideo: Efficient Video Generation With Latent Diffusion Models","created":"2022-11-20","cited_by_count":465,"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":"2306.03881","title":"Emergent Correspondence from Image Diffusion","created":"2023-06-06","cited_by_count":446,"area":"diffusion"},{"id":"2309.15103","title":"LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models","created":"2023-09-26","cited_by_count":349,"area":"diffusion"},{"id":"2305.10474","title":"Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models","created":"2023-05-17","cited_by_count":285,"area":"diffusion"},{"id":"2212.09478","title":"MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation","created":"2022-12-19","cited_by_count":227,"area":"diffusion"},{"id":"2310.10647","title":"A Survey on Video Diffusion Models","created":"2023-10-16","cited_by_count":206,"area":"diffusion"},{"id":"2303.13744","title":"Conditional Image-to-Video Generation with Latent Flow Diffusion Models","created":"2023-03-24","cited_by_count":181,"area":"diffusion"},{"id":"2502.06764","title":"History-Guided Video Diffusion","created":"2025-02-10","cited_by_count":171,"area":"diffusion"},{"id":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2402.09470","title":"Rolling Diffusion Models","created":"2024-02-12","cited_by_count":104,"area":"diffusion"},{"id":"2502.04896","title":"Goku: Flow Based Video Generative Foundation Models","created":"2025-02-07","cited_by_count":67,"area":"diffusion"},{"id":"2401.01256","title":"VideoStudio: Generating Consistent-Content and Multi-Scene Videos","created":"2024-01-02","cited_by_count":64,"area":"diffusion"},{"id":"2211.14575","title":"Efficient Video Prediction via Sparsely Conditioned Flow Matching","created":"2022-11-26","cited_by_count":55,"area":"diffusion"},{"id":"2303.14897","title":"Seer: Language Instructed Video Prediction with Latent Diffusion Models","created":"2023-03-27","cited_by_count":52,"area":"diffusion"},{"id":"2309.03549","title":"Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation","created":"2023-09-07","cited_by_count":50,"area":"diffusion"},{"id":"2411.06449","title":"Improved Video VAE for Latent Video Diffusion Model","created":"2024-11-10","cited_by_count":48,"area":"diffusion"},{"id":"2405.18132","title":"EG4D: Explicit Generation of 4D Object without Score Distillation","created":"2024-05-28","cited_by_count":45,"area":"diffusion"},{"id":"2206.07771","title":"Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation","created":"2022-06-15","cited_by_count":44,"area":"diffusion"},{"id":"2403.14148","title":"Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition","created":"2024-03-21","cited_by_count":42,"area":"diffusion"},{"id":"2405.11794","title":"ViViD: Video Virtual Try-on using Diffusion Models","created":"2024-05-20","cited_by_count":42,"area":"diffusion"},{"id":"2309.04509","title":"The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion","created":"2023-09-08","cited_by_count":41,"area":"diffusion"},{"id":"2406.01476","title":"DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors","created":"2024-06-03","cited_by_count":41,"area":"diffusion"},{"id":"2406.07686","title":"AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation","created":"2024-06-11","cited_by_count":41,"area":"diffusion"},{"id":"2406.08659","title":"Vivid-ZOO: Multi-View Video Generation with Diffusion Model","created":"2024-06-12","cited_by_count":40,"area":"diffusion"},{"id":"2412.01064","title":"FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait","created":"2024-12-02","cited_by_count":40,"area":"diffusion"},{"id":"2405.03150","title":"Video Diffusion Models: A Survey","created":"2024-05-06","cited_by_count":30,"area":"diffusion"},{"id":"2409.01199","title":"OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model","created":"2024-09-02","cited_by_count":30,"area":"diffusion"},{"id":"2401.10786","title":"Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion","created":"2024-01-19","cited_by_count":27,"area":"diffusion"},{"id":"2404.16306","title":"TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models","created":"2024-04-25","cited_by_count":25,"area":"diffusion"},{"id":"2501.11325","title":"CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation","created":"2025-01-20","cited_by_count":25,"area":"diffusion"},{"id":"2407.10625","title":"WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models","created":"2024-07-15","cited_by_count":22,"area":"diffusion"},{"id":"2311.17338","title":"MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing","created":"2023-11-29","cited_by_count":21,"area":"diffusion"},{"id":"2406.06465","title":"AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction","created":"2024-06-10","cited_by_count":21,"area":"diffusion"},{"id":"2312.03018","title":"DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance","created":"2023-12-05","cited_by_count":20,"area":"diffusion"},{"id":"2303.14863","title":"DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion","created":"2023-03-27","cited_by_count":19,"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":"2508.02807","title":"DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework","created":"2025-08-04","cited_by_count":17,"area":"diffusion"},{"id":"2407.09012","title":"TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models","created":"2024-07-12","cited_by_count":15,"area":"diffusion"},{"id":"2502.07001","title":"From Image to Video: An Empirical Study of Diffusion Representations","created":"2025-02-10","cited_by_count":15,"area":"diffusion"},{"id":"2505.21325","title":"MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on","created":"2025-05-27","cited_by_count":15,"area":"diffusion"},{"id":"2304.06818","title":"Soundini: Sound-Guided Diffusion for Natural Video Editing","created":"2023-04-13","cited_by_count":14,"area":"diffusion"},{"id":"2505.13344","title":"RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers","created":"2025-05-19","cited_by_count":14,"area":"diffusion"},{"id":"2403.07711","title":"SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces","created":"2024-03-12","cited_by_count":13,"area":"diffusion"},{"id":"2408.13005","title":"EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation","created":"2024-08-23","cited_by_count":12,"area":"diffusion"},{"id":"2403.19593","title":"Frame by Familiar Frame: Understanding Replication in Video Diffusion Models","created":"2024-03-28","cited_by_count":11,"area":"diffusion"},{"id":"2405.18326","title":"VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers","created":"2024-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2505.16980","title":"Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction","created":"2025-05-22","cited_by_count":11,"area":"diffusion"},{"id":"2311.15991","title":"DiffAnt: Diffusion Models for Action Anticipation","created":"2023-11-27","cited_by_count":9,"area":"diffusion"},{"id":"2510.12581","title":"LayerSync: Self-aligning Intermediate Layers","created":"2025-10-14","cited_by_count":9,"area":"diffusion"},{"id":"2307.14648","title":"Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models","created":"2023-07-27","cited_by_count":7,"area":"diffusion"},{"id":"2407.08231","title":"E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors","created":"2024-07-11","cited_by_count":7,"area":"diffusion"},{"id":"2503.03689","title":"DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance","created":"2025-03-05","cited_by_count":6,"area":"diffusion"},{"id":"2503.08307","title":"$^R$FLAV: Rolling Flow matching for infinite Audio Video generation","created":"2025-03-11","cited_by_count":6,"area":"diffusion"},{"id":"2410.21669","title":"Investigating Memorization in Video Diffusion Models","created":"2024-10-29","cited_by_count":5,"area":"diffusion"},{"id":"2501.14999","title":"VideoPure: Diffusion-based Adversarial Purification for Video Recognition","created":"2025-01-25","cited_by_count":5,"area":"diffusion"},{"id":"2503.20218","title":"Video Motion Graphs","created":"2025-03-26","cited_by_count":5,"area":"diffusion"},{"id":"2303.11444","title":"Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models","created":"2023-03-15","cited_by_count":4,"area":"diffusion"},{"id":"2311.00949","title":"POS: A Prompts Optimization Suite for Augmenting Text-to-Video Generation","created":"2023-11-02","cited_by_count":4,"area":"diffusion"},{"id":"2412.04353","title":"ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation","created":"2024-12-05","cited_by_count":4,"area":"diffusion"},{"id":"2408.05479","title":"ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack","created":"2024-08-10","cited_by_count":3,"area":"diffusion"},{"id":"2504.17414","title":"3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion Models","created":"2025-04-24","cited_by_count":3,"area":"diffusion"},{"id":"2506.21270","title":"Video Virtual Try-on with Conditional Diffusion Transformer Inpainter","created":"2025-06-26","cited_by_count":3,"area":"diffusion"},{"id":"2510.07654","title":"Once Is Enough: Lightweight DiT-Based Video Virtual Try-On via One-Time Garment Appearance Injection","created":"2025-10-09","cited_by_count":3,"area":"diffusion"},{"id":"2511.23146","title":"InstanceV: Instance-Level Video Generation","created":"2025-11-28","cited_by_count":3,"area":"diffusion"},{"id":"2512.20606","title":"Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking","created":"2025-12-23","cited_by_count":3,"area":"diffusion"},{"id":"2605.17248","title":"Image-to-Video Diffusion: From Foundations to Open Frontiers","created":"2026-05-17","cited_by_count":3,"area":"diffusion"},{"id":"2401.00869","title":"FlashVideo: A Framework for Swift Inference in Text-to-Video Generation","created":"2023-12-30","cited_by_count":2,"area":"diffusion"},{"id":"2401.09084","title":"UniVG: Towards UNIfied-modal Video Generation","created":"2024-01-17","cited_by_count":2,"area":"diffusion"},{"id":"2401.13329","title":"Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval","created":"2024-01-24","cited_by_count":2,"area":"diffusion"},{"id":"2408.02024","title":"Faster Diffusion Action Segmentation","created":"2024-08-04","cited_by_count":2,"area":"diffusion"},{"id":"2503.12953","title":"Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction","created":"2025-03-17","cited_by_count":2,"area":"diffusion"},{"id":"2508.12084","title":"Generic Event Boundary Detection via Denoising Diffusion","created":"2025-08-16","cited_by_count":2,"area":"diffusion"},{"id":"2604.07966","title":"Lighting-grounded Video Generation with Renderer-based Agent Reasoning","created":"2026-04-09","cited_by_count":2,"area":"diffusion"},{"id":"2310.00106","title":"FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery","created":"2023-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2310.17189","title":"Exploring Iterative Refinement with Diffusion Models for Video Grounding","created":"2023-10-26","cited_by_count":1,"area":"diffusion"},{"id":"2410.10053","title":"DINTR: Tracking via Diffusion-based Interpolation","created":"2024-10-14","cited_by_count":1,"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":"2511.00858","title":"Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction","created":"2025-11-02","cited_by_count":1,"area":"diffusion"},{"id":"2603.09721","title":"FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation","created":"2026-03-10","cited_by_count":1,"area":"diffusion"},{"id":"2607.18539","title":"AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation","created":"2026-07-20","cited_by_count":1,"area":"diffusion"},{"id":"2608.14706","title":"Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning","created":"2026-08-11","cited_by_count":1,"area":"diffusion"},{"id":"2312.03775","title":"FAAC: Facial Animation Generation with Anchor Frame and Conditional Control for Superior Fidelity and Editability","created":"2023-12-06","cited_by_count":0,"area":"diffusion"},{"id":"2409.06074","title":"SVS-GAN: Leveraging GANs for Semantic Video Synthesis","created":"2024-09-09","cited_by_count":0,"area":"diffusion"},{"id":"2505.04660","title":"AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection","created":"2025-05-07","cited_by_count":0,"area":"diffusion"},{"id":"2506.14181","title":"Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition","created":"2025-06-17","cited_by_count":0,"area":"diffusion"},{"id":"2510.20951","title":"Generative Point Tracking with Flow Matching","created":"2025-10-23","cited_by_count":0,"area":"diffusion"},{"id":"2601.02228","title":"FMVP: Masked Flow Matching for Adversarial Video Purification","created":"2026-01-05","cited_by_count":0,"area":"diffusion"},{"id":"2605.16649","title":"AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.20624","title":"Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2608.07463","title":"MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation","created":"2026-08-07","cited_by_count":0,"area":"diffusion"},{"id":"2608.28404","title":"How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models","created":"2026-08-28","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}