Realistic image compositions with deep learning priors

Image composition is an operation that incorporates an object extracted from a source image to incorporate it inside a target image. This simple operation has a lot of practical applications in the advertisement, entertainment, and movie industries. However, it is tedious for an artist to achieve realistic image compositions. Indeed, it requires different lighting, shadows, or objects present in the target image will change the target object's appearance. One of these appearance changes is new contact shadows between the target object and the target environment. This project aims to automate their computation using recent machine learning techniques and achieve a new level of realism in image composition

Intern: 
Benjamin Boineau
Superviseur universitaire: 
Sheldon Andrews;Adrien Gruson
Province: 
Quebec
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