MotionDirector
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Motiondirector
Overview :
MotionDirector is a technique that enables the customization of text-to-video diffusion models to generate videos with desired motions. It utilizes a dual-path LoRAs architecture to decouple the learning of appearance and motion, and incorporates a novel biased temporal loss to mitigate the influence of appearance on the temporal training objective. This method supports various downstream applications, such as mixing the appearances and motions of different videos, and adding animations to individual images with custom motions.
Target Users :
MotionDirector allows you to customize text-to-video diffusion models to generate videos with desired motions, suitable for video generation and animation production.
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Use Cases
Customizing videos of vehicle movement and specific camera shots in film production
Creating custom videos of a bear weightlifting for inspiration by creators
Mixing the appearances and motions of different videos to generate new videos
Features
Learn the appearance and actions from reference videos
During training, spatial LoRAs learn to adapt to the appearance of reference videos, while temporal LoRAs learn their motion dynamics
During inference, the trained temporal LoRAs are injected into the base model, allowing it to generalize the learned actions to different appearances
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