Boximator by ByteDance is a video generation framework that creates controllable human motion from single images using 3D body modeling and layered box-based motion decomposition.
Boximator by ByteDance is an AI-powered animation tool that transforms static images and simple user inputs into dynamic, realistic motion sequences. Designed for creators, researchers, and developers, Boximator enables motion synthesis by combining object bounding boxes, motion trajectories, and temporal prompts to animate characters or objects directly from 2D inputs. Users can define motion using intuitive box-based controls, specify paths or actions, and let the model generate coherent, temporally consistent animations that respect object structure and scene context.
Key capabilities include controllable object motion, multi-object interaction, and support for complex, long-horizon animations. Boximator can animate humans, animals, and other articulated or non-rigid objects, maintaining shape integrity and plausible dynamics across frames. The system supports fine-grained control over speed, direction, and timing, allowing users to iteratively refine motion behavior without manual keyframing.
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