Publications related to Graphics pipeline

Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

Anastasia Ailamaki, Eleni Tzirita Zacharatou, Haoqiong Bian

The recent explosion in the number and size of spatio-temporal data sets from urban environments and social sensors creates new opportunities for data-driven approaches to understand and improve cities. Visual analytics systems like Urbane aim to empower d ...

2018

The Layer Laboratory: A Calculus for Additive and Subtractive Composition of Anisotropic Surface Reflectance

Wenzel Alban Jakob, Tizian Lucien Zeltner

We present a versatile computational framework for modeling the reflective and transmissive properties of arbitrarily layered anisotropic material structures. Given a set of input layers, our model synthesizes an effective BSDF of the entire structure, whi ...

ASSOC COMPUTING MACHINERY2018

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

Wenzel Alban Jakob

One of the key ingredients of any physically based rendering system is a detailed specification characterizing the interaction of light and matter of all materials present in a scene, typically via the Bidirectional Reflectance Distribution Function (BRDF) ...

ASSOC COMPUTING MACHINERY2018

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

Wenzel Alban Jakob

One of the key ingredients of any physically based rendering system is a detailed specification characterizing the interaction of light and matter of all materials present in a scene, typically via the Bidirectional Reflectance Distribution Function (BRDF) ...

ASSOC COMPUTING MACHINERY2018

Learning to Find Good Correspondences

Pascal Fua, Mathieu Salzmann, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny, Yuki Ono

We develop a deep architecture to learn to find good correspondences for wide-baseline stereo. Given a set of putative sparse matches and the camera intrinsics, we train our network in an end-to-end fashion to label the correspondences as inliers or outlie ...

2018

Learning to Find Good Correspondences

Pascal Fua, Mathieu Salzmann, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny, Yuki Ono

We develop a deep architecture to learn to find good correspondences for wide-baseline stereo. Given a set of putative sparse matches and the camera intrinsics, we train our network in an end-to-end fashion to label the correspondences as inliers or outlie ...

IEEE2018

OCUVIS: A Web-Based Visualizer for Simulated Daylight Performance

Marilyne Andersen, María Lovísa Ámundadóttir, Siobhan Francois Rockcastle

This paper introduces an interactive web-based visualizer for multi-metric daylight simulation results, named OCUVIS. It is able to display simulation-based results for a diverse range of ocular human-centric metrics such as non-visual health potential (nv ...

2018

Computational Design of Deployable Auxetic Shells

Mark Pauly, Mina Konakovic Lukovic

We propose an interactive computational design method for deployable auxetic shells. We realize deployable auxetics as triangular linkages that can be actuated with simple expansive mechanisms to assume a desired freeform target shape. The core feature of ...

2018

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

Davide Scaramuzza

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual in ...

Institute of Electrical and Electronics Engineers2018

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

Marwan Muhammad Ahmed Abdellah

The recent years have witnessed growing interest in the power of scientific visualization for simulation-based neuroscience. The research presented in this thesis develops methods to generate physically-realistic visualizations of neocortical models recons ...

EPFL2017

Graphics pipeline

Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

The Layer Laboratory: A Calculus for Additive and Subtractive Composition of Anisotropic Surface Reflectance

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

Learning to Find Good Correspondences

Learning to Find Good Correspondences

OCUVIS: A Web-Based Visualizer for Simulated Daylight Performance

Computational Design of Deployable Auxetic Shells

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

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Chat with Graph Search

The Layer Laboratory: A Calculus for Additive and Subtractive Composition of Anisotropic Surface Reflectance

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

Learning to Find Good Correspondences

Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

Learning to Find Good Correspondences

OCUVIS: A Web-Based Visualizer for Simulated Daylight Performance

An Adaptive Parameterization for Efficient Material Acquisition and Rendering

Computational Design of Deployable Auxetic Shells

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps