Abstract
Group photos captured at events such as birthdays, weddings, holidays, etc. may sometimes leave out important individuals, rendering the memory of the event incomplete. This disclosure describes techniques that utilize generative artificial intelligence to reconstruct missed moments within a set of photos taken during a particular event by leveraging the collective context of the photos within the photo set. A multi-state artificial intelligence (AI) pipeline is implemented that includes missed moment identification using event analysis; asset and scene reconstruction; context-aware reconstruction; and generative rendering. The techniques shift the paradigm of digital photo albums from organizing photos to helping users obtain a photo library that represents their experience of an event. The artificially-enhanced photograph is clearly marked as being synthetic and supports identification of the synthetic nature via image steganography, watermarking, or other techniques.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Labzovsky, Ilia and Karmon, Danny, "Reconstructing Missed Photographic Moments Within a Spatiotemporal Event Cluster", Technical Disclosure Commons, (December 15, 2025)
https://www.tdcommons.org/dpubs_series/9045