Technical Papers
Color & Compositing
Monday, 22 July 9:00 AM - 10:30 AM
Session Chair: Alexander Hornung, Disney Research Zürich
Monday, 22 July 9:00 AM - 10:30 AM
Session Chair: Alexander Hornung, Disney Research Zürich
A new approach that assists photographers to compose images of static scenes, viewed under dynamic lighting. The approach introduces a set of basis lights that combine several of the input images and provides controls to achieve effects photographers typically need; for example, accentuating the color or edges of objects.
Ivaylo Boyadzhiev
Cornell University
Sylvain Paris
Adobe Research
Kavita Bala
Cornell University
A probabilistic factor graph model for automatically coloring patterns. The model is trained on example patterns and can be sampled to generate diverse colorings for a target pattern. Results are demonstrated on a variety of coloring tasks. In a study, participants preferred sampled colorings to other automatic baselines.
Sharon Lin
Stanford University
Daniel Ritchie
Stanford University
Matthew Fisher
Stanford University
Pat Hanrahan
Stanford University
A new method for automatically ensuring color consistency in typical real-world personal photo albums. Consistency may be induced without any user input, and user-specified edits of one or more photographs are automatically propagated to other photographs that share the same content.
Yoav HaCohen
The Hebrew University of Jerusalem
Eli Shechtman
Adobe Research
Dan Goldman
Adobe Systems Incorporated
Dani Lischinski
The Hebrew University of Jerusalem
Color palettes of production movies are often adjusted by skilled colorists through a color-grading process that is difficult for amateurs to reproduce. This paper addresses this problem with an an example-based method. It solves temporal inconsistencies with a novel differential-geometry-based scheme akin to curvature flow.
Nicolas Bonneel
Harvard University
Kalyan Sunkavalli
Adobe Systems Incorporated
Sylvain Paris
Adobe Systems Incorporated
Hanspeter Pfister
Harvard University