Paxel: A Generic Framework to Superimpose High-Frequency Print Patterns using Projected Light
We propose Paxel, a generic framework for modeling the interaction between a projector and a high-frequency pattern surface.
Compressed Animated Light Fields with Real-time View-dependent Reconstruction
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion.
Recent Advances in Projection Mapping Algorithms, Hardware and Applications
We introduce computational display approaches to overcome technical limitations of current projection hardware in terms of dynamic range, refresh rate, spatial resolution, depth-of-field, view dependency, and color space.
Monte Carlo Methods for Volumetric Light Transport Simulation
We present a coherent survey of methods that utilize Monte Carlo integration for estimating light transport in scenes containing participating media.
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications
We provide an in-depth overview of the underlying concepts of real-world image formation, and we discuss common assumptions and simplifications that make these algorithms practical.
From Faces to Outdoor Light Probes
This paper presents an approach to directly estimate an HDR light probe from a single LDR photograph, shot outdoors with a consumer camera, without specialized calibration targets or equipment.
Story Version Control and Graphical Visualization for Collaborative Story Authoring
This paper presents a story version control and graphical visualization framework to enhance collaborative story authoring.
Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video
In this paper, we propose a scalable method for streaming lightfield video, parameterized on viewer location and time, that efficiently handles RAM-to-GPU memory transfers of lightfield video in a compressed form, utilizing the GPU architecture for reduction of latency.
Interacting with Intelligent Characters in AR
We explore interacting with virtual characters in AR along real-world environments.
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
We present a technique for efficiently synthesizing images of atmospheric clouds using a combination of Monte Carlo integration and neural networks.
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