I2VControl: Disentangled and Unified Video Motion Synthesis Control

• URL: http://arxiv.org/abs/2411.17765v3
• Date: Wed, 30 Jul 2025 10:27:47 GMT
• Title: I2VControl: Disentangled and Unified Video Motion Synthesis Control
• Authors: Wanquan Feng, Tianhao Qi, Jiawei Liu, Mingzhen Sun, Pengqi Tu, Tianxiang Ma, Fei Dai, Songtao Zhao, Siyu Zhou, Qian He,
• Abstract summary: We propose a disentangled and unified framework, namely I2VControl, to overcome the logical conflicts.<n>We rethink camera control, object dragging, and motion brush, reformulating all tasks into a consistent representation.<n>We conduct extensive experiments, achieving excellent performance on various control tasks.
• Score: 11.83645633418189
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Motion controllability is crucial in video synthesis. However, most previous methods are limited to single control types, and combining them often results in logical conflicts. In this paper, we propose a disentangled and unified framework, namely I2VControl, to overcome the logical conflicts. We rethink camera control, object dragging, and motion brush, reformulating all tasks into a consistent representation based on point trajectories, each managed by a dedicated formulation. Accordingly, we propose a spatial partitioning strategy, where each unit is assigned to a concomitant control category, enabling diverse control types to be dynamically orchestrated within a single synthesis pipeline without conflicts. Furthermore, we design an adapter structure that functions as a plug-in for pre-trained models and is agnostic to specific model architectures. We conduct extensive experiments, achieving excellent performance on various control tasks, and our method further facilitates user-driven creative combinations, enhancing innovation and creativity. Project page: https://wanquanf.github.io/I2VControl .

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