Abstract
Systems and methods are described for converting still images into short video clips at scale. A computing system receives a still image, determines an image pattern using extracted features, and selects one or more motion context files that map the pattern to standardized minimal-motion templates. The system generates a plurality of frames by applying the selected template(s) and encodes a short video clip that begins and/or ends with a frame identical to the original still image. In some implementations, a purpose-built image-to-video conversion model generates or refines frames, optionally conditioned on motion context files and template outputs that may also be used for training the model. Distributed scheduling, caching, and compute budgeting enable batch conversion of large image repositories while controlling per-item cost. Example motions include blinks, winks, subtle head tilts, ear tilts, and neutral-to-smile transitions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Dynamic Image Conversion", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10643