VideoCraft: A Mixed Reality-empowered Video Generation Workflow with Spatial Layer Editing for Concept Video Creation
Boyu Li, Linping Yuan, Zeyu Wang
摘要
Concept videos for physical spaces are powerful tools for creators to explore and present spatial design ideas by integrating digital elements into real-world footage. While current video-to-video (V2V) generation models have eased the traditionally labor-intensive creation process, they lack support for seamlessly inserting new objects into original spaces and enabling precise spatial adjustments. To address these challenges, we propose VideoCraft, a novel mixed reality (MR)-empowered video generation workflow for concept video creation. Through a formative study, we identify key limitations in simply integrating MR and V2V models, particularly around localized editing for style and geometry. Therefore, we introduce a spatial layer editing mechanism into the workflow, enabling intuitive spatial manipulation through layer shaping, features, and states. We evaluate VideoCraft through a controlled user study and expert interviews, demonstrating its effectiveness in enhancing spatial precision and creative control.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- Vidmento: Creating Video Stories through Context-Aware Expansion with Generative VideoCatherine Yeh, Anh Truong, Mira Dontcheva, Bryan WangCHI 2026 · 被引用 1 次
- VideoClipper: Rapid Prototyping with the "Editing-in-the-Camera" MethodWendy E. Mackay, Alexandre Battut, Germán Leiva, Michel Beaudouin-LafonCHI 2024 · 被引用 5 次
- LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object IntegrationYuyao Zhang, Jinghao Li, Yu-Wing TaiNeurIPS 2025 · 被引用 21 次
- Generative Video Motion Editing with 3D Point TracksYao-Chih Lee, Zhoutong Zhang, Jiahui Huang, Jui-Hsien Wang 等CVPR 2026 · 被引用 23 次
- FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video SynthesisFeng Liang, Bichen Wu, Jialiang Wang, Licheng Yu 等CVPR 2024
