The authors trained a video diffusion model on 661 paired videos spanning eight subject-relative camera behaviors.
SemCam turns subject-relative camera instructions into adaptive video motion
The system changes viewpoint using one of eight semantic motion labels, without requiring users to provide an explicit camera trajectory.
Big Tech
Janna Bruner · Omer Talmi · Ianir Ideses · Lior Fritz · Lior Wolf · Sagie Benaim
Amazon Prime Video · Tel Aviv University · Hebrew University of Jerusalem
Research Digest··2 min read
Bruner and colleagues formulate semantic camera motion control as a video-to-video task in which the model must infer how to move the camera relative to an evolving subject.
Why this paper
From Amazon Prime Video and 2 others
In one line
SemCam generates video with a camera behavior described by a discrete label relative to a moving subject, without an explicit trajectory.
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