Render the Possibilities
the 43rd international conference and exhibition on
Computer Graphics & Interactive Techniques
24-28 July
Anaheim, California
the 43rd international conference and exhibition on
24-28 July
Anaheim, California
Intrinsic video decomposition is the basis for a variety of video manipulation applications, such as realistic recoloring, retexturing, material editing, and stylization of objects. This paper present sa novel variational approach to tackle this underconstrained inverse problem, which enables online processing of live video footage.
Abhimitra Meka
Max-Planck-Institut für Informatik
Michael Zollhoefer
Max-Planck-Institut für Informatik
Christian Richardt
Max-Planck-Institut für Informatik
Christian Theobalt
Max-Planck-Institut für Informatik
This paper computes intrinsic images for multi-view sets of outdoor photos. Parameters are estimated using lighting simulation and optimization, and a robust visibility classifier computes intrinsic layers for relighting.
Sylvain Duchêne
INRIA
Clement Riant
INRIA
Gaurav Chaurasia
INRIA
Jorge Lopez-Moreno
INRIA
Pierre-Yves Laffont
ETH Zürich
Stefan Popov
INRIA
Adrien Bousseau
INRIA
George Drettakis
INRIA
A novel end-to-end convolutional neural network-based model that combines both global image priors with local image features in order to automatically colorize greyscale images. The method realistically colorizes a diverse range of images.
Satoshi Iizuka
Waseda University
Edgar Simo-Serra
Waseda University
Hiroshi Ishikawa
Waseda University
This paper introduces approximate translational building blocks for unsupervised image decomposition, which is used to augment a conventional Markov random-field model for image synthesis.
Chuan Li
Johannes Gutenberg-Universität Mainz
Michael Wand
Johannes Gutenberg-Universität Mainz