Hair Color Digitization Through Imaging and Deep Inverse Graphics
February 2022
in “
arXiv (Cornell University)
”
Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.
Studysummary This study introduces a novel method for capturing and digitally rendering the color appearance of physical hair samples using deep neural networks.
Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
