Sylvain Paris
Sylvain Paris
Cambridge, MA
Sylvain’s work mainly focuses on extracting information from real images. The goal is to obtain data useful for computer graphics, i.e. suitable for rendering new images. During his PhD with François Sillion, Sylvain developed new solutions to face relighting, shape reconstruction from image sequences, and for recovery of the 3D geometry of hair. The main results of this work are an optimal complexity algorithm for acquiring precise 3D models from several photographs, and a technique that exploits a video sequence to build a dense set of 3D curves that match someone’s hairstyle.
Since his post-doc at MIT with Frédo Durand, Sylvain has been interested in computational photography. He is looking at signal-processing techniques to apply them to digital photographs. Compared to traditional film photography, this unveils a large spectrum of possibilities to modify and enhance the picture content. Conversely, photography-related applications raise specific issues such as user interaction and photorealism, and cast a new light upon known signal-processing methods.
Publications
News
The Power of Collaboration: Former Research Interns Win SIGGRAPH Awards
Internships at Adobe Research can turn into years-long research partnerships and professional collaborations with Adobe—and can even result in prestigious awards, like these two new SIGGRAPH awards.
August 18, 2021SIGGRAPH 2021 Technical Papers Program: Sylvain Paris
Sylvain Paris, a Fellow at Adobe Research, is an expert on computer graphics. In this audio interview, Paris shares his experience as the Chair of the Technical Papers program at SIGGRAPH 2021, the premier academic conference in computer graphics and interactive techniques.
July 19, 2021