{"total":15,"rows":[{"id":"2210.02303","title":"Imagen Video: High Definition Video Generation with Diffusion Models","created":"2022-10-05","cited_by_count":1778,"area":"diffusion"},{"id":"2310.05737","title":"Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation","created":"2023-10-09","cited_by_count":640,"area":"diffusion"},{"id":"2312.06662","title":"Photorealistic Video Generation with Diffusion Models","created":"2023-12-11","cited_by_count":306,"area":"diffusion"},{"id":"2305.13311","title":"VDT: General-purpose Video Diffusion Transformers via Mask Modeling","created":"2023-05-22","cited_by_count":103,"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":"2303.12644","title":"Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis","created":"2023-03-22","cited_by_count":32,"area":"diffusion"},{"id":"2309.02119","title":"Hierarchical Masked 3D Diffusion Model for Video Outpainting","created":"2023-09-05","cited_by_count":25,"area":"diffusion"},{"id":"2312.12468","title":"MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers","created":"2023-12-19","cited_by_count":11,"area":"diffusion"},{"id":"2503.00951","title":"Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models","created":"2025-03-02","cited_by_count":9,"area":"diffusion"},{"id":"2309.13274","title":"GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER","created":"2023-09-23","cited_by_count":6,"area":"diffusion"},{"id":"2408.03035","title":"Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis","created":"2024-08-06","cited_by_count":6,"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":"2505.16474","title":"Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models","created":"2025-05-22","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":"2410.01718","title":"COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation","created":"2024-10-02","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}