Immersive Light Field Video with a Layered Mesh Representation
Immersive Light Field Video with a Layered Mesh Representation Michael Broxton*, John Flynn*, Ryan Overbeck*, Daniel Erickson*, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen, Paul Debevec * - Denotes equal contribution. Abstract We present a system for capturing, reconstructing, compressing, and rendering high quality immersive light field video. We record immersive light
The Relightables: Volumetric Performance Capture of Humans with Realistic Relighting
Volumetric Performance Capture of Humans with Realistic Relighting Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, Matthew DuVall, Danhang Tang, Anastasia Tkach, Adarsh Kowdle, Emily Cooper, Mingsong Dou, Sean Fanello, Graham Fyffe, Christoph Rhemann, Jonathan Taylor, Paul Debevec, and Shahram Izadi
Deep Bilateral Learning
Deep Bilateral Learning for Real-Time Image Enhancement Siggraph 2017 Abstract Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural network architecture inspired by bilateral grid processing and local affin
360 Google Spotlight Stories: Pearl
2017 EMMY® AWARD-WINNER for OUTSTANDING INNOVATION IN INTERACTIVE STORYTELLING Set inside their home, a beloved hatchback, “Pearl†follows a girl and her dad as they crisscross the country chasing their dreams. It’s a story about the gifts we hand down and their power to carry love. And finding grace in the unlikeliest of places. 2017 Oscar nominated for "Best Animated Short Film" 2017 Ub IWerk
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