{"total":68,"rows":[{"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":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2308.06571","title":"ModelScope Text-to-Video Technical Report","created":"2023-08-12","cited_by_count":658,"area":"diffusion"},{"id":"2310.12190","title":"DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors","created":"2023-10-18","cited_by_count":471,"area":"diffusion"},{"id":"2311.04145","title":"I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models","created":"2023-11-07","cited_by_count":350,"area":"diffusion"},{"id":"2309.15818","title":"Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation","created":"2023-09-27","cited_by_count":302,"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":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2310.10647","title":"A Survey on Video Diffusion Models","created":"2023-10-16","cited_by_count":206,"area":"diffusion"},{"id":"2211.09707","title":"Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models","created":"2022-11-17","cited_by_count":190,"area":"diffusion"},{"id":"2305.16807","title":"Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models","created":"2023-05-26","cited_by_count":174,"area":"diffusion"},{"id":"2302.07685","title":"Video Probabilistic Diffusion Models in Projected Latent Space","created":"2023-02-15","cited_by_count":171,"area":"diffusion"},{"id":"2301.03396","title":"Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation","created":"2023-01-06","cited_by_count":142,"area":"diffusion"},{"id":"2304.14404","title":"Motion-Conditioned Diffusion Model for Controllable Video Synthesis","created":"2023-04-27","cited_by_count":99,"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":"2309.01745","title":"Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation","created":"2023-09-04","cited_by_count":71,"area":"diffusion"},{"id":"2210.05559","title":"Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance","created":"2022-10-11","cited_by_count":67,"area":"diffusion"},{"id":"2410.16415","title":"On conditional diffusion models for PDE simulations","created":"2024-10-21","cited_by_count":60,"area":"diffusion"},{"id":"2211.11743","title":"SinFusion: Training Diffusion Models on a Single Image or Video","created":"2022-11-21","cited_by_count":58,"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":"2212.05993","title":"RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models","created":"2022-12-12","cited_by_count":45,"area":"diffusion"},{"id":"2401.01827","title":"Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions","created":"2024-01-03","cited_by_count":42,"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":"2310.13165","title":"CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation","created":"2023-10-19","cited_by_count":41,"area":"diffusion"},{"id":"2308.13812","title":"Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs","created":"2023-08-26","cited_by_count":35,"area":"diffusion"},{"id":"2305.11089","title":"Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces","created":"2023-05-18","cited_by_count":30,"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":"2305.16301","title":"Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos","created":"2023-05-25","cited_by_count":21,"area":"diffusion"},{"id":"2305.19193","title":"Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models","created":"2023-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2310.19789","title":"DiffEnc: Variational Diffusion with a Learned Encoder","created":"2023-10-30","cited_by_count":17,"area":"diffusion"},{"id":"2301.10250","title":"Solving Inverse Physics Problems with Score Matching","created":"2023-01-24","cited_by_count":16,"area":"diffusion"},{"id":"2306.02562","title":"Video Diffusion Models with Local-Global Context Guidance","created":"2023-06-05","cited_by_count":15,"area":"diffusion"},{"id":"2502.12632","title":"MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation","created":"2025-02-18","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":"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":"2403.19593","title":"Frame by Familiar Frame: Understanding Replication in Video Diffusion Models","created":"2024-03-28","cited_by_count":11,"area":"diffusion"},{"id":"2408.15241","title":"GenRec: Unifying Video Generation and Recognition with Diffusion Models","created":"2024-08-27","cited_by_count":11,"area":"diffusion"},{"id":"2401.06146","title":"AAMDM: Accelerated Auto-regressive Motion Diffusion Model","created":"2023-12-02","cited_by_count":10,"area":"diffusion"},{"id":"2308.12605","title":"APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency","created":"2023-08-24","cited_by_count":9,"area":"diffusion"},{"id":"2311.15991","title":"DiffAnt: Diffusion Models for Action Anticipation","created":"2023-11-27","cited_by_count":9,"area":"diffusion"},{"id":"2602.00869","title":"Improving Flow Matching by Aligning Flow Divergence","created":"2026-01-31","cited_by_count":9,"area":"diffusion"},{"id":"2405.00251","title":"Semantically Consistent Video Inpainting with Conditional Diffusion Models","created":"2024-04-30","cited_by_count":8,"area":"diffusion"},{"id":"2506.13754","title":"VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models","created":"2025-06-16","cited_by_count":8,"area":"diffusion"},{"id":"2311.14280","title":"Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging","created":"2023-11-24","cited_by_count":7,"area":"diffusion"},{"id":"2402.08934","title":"Extreme Video Compression with Pre-trained Diffusion Models","created":"2024-02-14","cited_by_count":6,"area":"diffusion"},{"id":"2403.02827","title":"Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation","created":"2024-03-05","cited_by_count":5,"area":"diffusion"},{"id":"2410.21669","title":"Investigating Memorization in Video Diffusion Models","created":"2024-10-29","cited_by_count":5,"area":"diffusion"},{"id":"2405.18003","title":"MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling","created":"2024-05-28","cited_by_count":4,"area":"diffusion"},{"id":"2606.18702","title":"UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation","created":"2026-06-17","cited_by_count":4,"area":"diffusion"},{"id":"2407.02873","title":"Robot Shape and Location Retention in Video Generation Using Diffusion Models","created":"2024-07-03","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":"2405.02384","title":"CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding","created":"2024-05-03","cited_by_count":2,"area":"diffusion"},{"id":"2406.04814","title":"Lifelong Learning of Video Diffusion Models From a Single Video Stream","created":"2024-06-07","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":"2511.17839","title":"Show Me: Unifying Instructional Image and Video Generation with Diffusion Models","created":"2025-11-21","cited_by_count":2,"area":"diffusion"},{"id":"2605.31204","title":"Probabilistic Precipitation Nowcasting with Rectified Flow Transformers","created":"2026-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2512.17323","title":"DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training","created":"2025-12-19","cited_by_count":1,"area":"diffusion"},{"id":"2512.22688","title":"Autoregressive Flow Matching for Motion Prediction","created":"2025-12-27","cited_by_count":1,"area":"diffusion"},{"id":"2409.14149","title":"JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation","created":"2024-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2411.00853","title":"Accelerated AI Inference via Dynamic Execution Methods","created":"2024-10-30","cited_by_count":0,"area":"diffusion"},{"id":"2412.21044","title":"E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models","created":"2024-12-30","cited_by_count":0,"area":"diffusion"},{"id":"2507.03295","title":"CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection","created":"2025-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2511.18255","title":"Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization","created":"2025-11-23","cited_by_count":0,"area":"diffusion"},{"id":"2603.27371","title":"HMPDM: A Diffusion Model for Driving Video Prediction with Historical Motion Priors","created":"2026-03-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.05349","title":"Learning Conditional Source Distribution via Flow Reversal for Temporal Flow Matching","created":"2026-10-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.11479","title":"Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher","created":"2026-10-08","cited_by_count":0,"area":"diffusion"},{"id":"2610.12189","title":"Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion","created":"2026-10-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}