Portrait Light: Enhancing Portrait Lighting with Machine Learning

Description

Summary

• Professional portrait photographers are able to create compelling photographs by using specialized equipment, such as off-camera flashes and reflectors, and expert knowledge to capture just the right illumination of their subjects.
• Today we present the technology behind Portrait Light.
• For a given portrait, the algorithm places a synthetic directional light in the scene consistent with how a photographer would have placed an off-camera light source in the real world.
• Learning Detail-Preserving Relighting Using the Quotient Image Rather than trying to directly predict the output relit image, we trained the relighting model to output a low-resolution quotient image, i.e., a per-pixel multiplier that when upsampled can be applied to the original input image to produce the desired output image with the contribution of the extra light source added.