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Automatic Photo Adjustment Using Deep Neural Networks

Photo retouching enables photographers to invoke dramatic visual impressions by artistically enhancing their photos through stylistic color and tone... (more)

Interactive Design of Developable Surfaces

We present a new approach to geometric modeling with developable surfaces and the design of curved-creased origami. We represent developables as splines and express the nonlinear conditions relating to developability and curved folds as quadratic equations. This allows us to utilize a constraint solver, which may be described as energy-guided... (more)

Reconciling Elastic and Equilibrium Methods for Static Analysis

We examine two widely used classes of methods for static analysis of masonry buildings: linear elasticity analysis using finite elements and... (more)

Construction of Manifolds via Compatible Sparse Representations

Manifold is an important technique to model geometric objects with arbitrary topology. In this article, we propose a novel approach for constructing... (more)

Occluded Imaging with Time-of-Flight Sensors

We explore the question of whether phase-based time-of-flight (TOF) range cameras can be used for looking around corners and through scattering diffusers. By connecting TOF measurements with theory from array signal processing, we conclude that performance depends on two primary factors: camera modulation frequency and the width of the specular... (more)

Efficient Fluid Simulation on the Surface of a Sphere

For the purposes of computer graphics, we have developed a simulation tool to model fluid flow on the surface of a sphere with the inclusion of... (more)

Fairy Lights in Femtoseconds

We present a method of rendering aerial and volumetric graphics using femtosecond lasers. A high-intensity laser excites physical matter to emit light at an arbitrary three-dimensional position. Popular applications can thus be explored, especially because plasma induced by a femtosecond laser is less harmful than that generated by a nanosecond... (more)

Interactively Cutting and Constraining Vertices in Meshes Using Augmented Matrices

We present a finite-element solution method that is well suited for interactive simulations of cutting meshes in the regime of linear elastic models.... (more)

Parallel Inverse Kinematics for Multithreaded Architectures

In this article, we present a parallel prioritized Jacobian-based inverse kinematics algorithm for multithreaded architectures. We solve damped least... (more)

Why New Programming Languages for Simulation?

Writing highly performant simulations requires a lot of human effort to optimize for an increasingly diverse set of hardware platforms, such as multi-core CPUs, GPUs, and distributed machines. Since these optimizations cut across both the design of geometric data structures and numerical linear algebra, code reusability and portability is... (more)

Simit

With existing programming tools, writing high-performance simulation code is labor intensive and requires sacrificing readability and portability. The alternative is to prototype simulations in a high-level language like Matlab, thereby sacrificing performance. The Matlab programming model naturally... (more)

Ebb

Designing programming environments for physical simulation is challenging because simulations rely on diverse algorithms and geometric domains. These challenges are compounded when we try to run efficiently on heterogeneous parallel architectures. We present Ebb, a Domain-Specific Language (DSL) for... (more)

NEWS

New options for ACM authors to manage rights and permissions for their work

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new author-pays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.

 

About TOG

ACM TOG is the foremost peer-reviewed journal in the area of computer graphics. 

Recent impact factor calculations from Thomson Reuters give ACM TOG an impact factor of 4.096 and an Eigenfactor Score of 0.029, giving it the top ranking among the 104 journals in the Computer Science: Software Engineering category. 

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Forthcoming Articles
Hexahedral-dominant meshing

This article introduces a method that generates a hexahedral-dominant mesh from an input tetrahedral mesh. It follows a three-steps pipeline similar to the one proposed by Carrier-Baudoin: (1) generate a frame field; (2) generate a pointset P that is organized on a regular grid locally aligned with the frame field; and (3) generate the hexahedral-dominant mesh by recombining the tetrahedra obtained from the constrained Delaunay triangulation of P. For step (1), we use a state of the art algorithm to generate a smooth frame field. For step (2), we introduce an extension of Periodic Global Parameterization to the volumetric case. Compared to CubeCover, our method relaxes some global constraints and avoids creating degenerate elements, at the expense of introducing some singularities that are meshed using non-hexahedral elements. For step (3), we build on the formalism introduced by Meshkat and Talmor, fill-in a gap in their proof and provide a complete enumeration of all the possible recombinations, as well as an algorithm that efficiently detects all the matches in a tetrahedral mesh. The method is evaluated and compared with the state of the art on a database of examples with various mesh complexities, varying from academic examples to real industrial cases.

Interactive Sound Propagation and Rendering for Large Multi-Source Scenes

We present an approach to generate plausible acoustic effects at interactive rates in large dynamic environments containing many sound sources. Our formulation combines sound source clustering, listener-based backward ray tracing, and hybrid audio rendering to handle complex scenes. We present a new algorithm for perceptually clustering distant sound sources and for computing dynamic late reverberation based on high-order reflections. We also describe a hybrid convolution-based audio rendering technique that can process hundreds of thousands of sound paths at interactive rates. We demonstrate the performance on many indoor and outdoor scenes with tens or hundreds of sources. In practice, our algorithm can compute 50 orders of specular or diffuse reflections at interactive rates on a multi-core PC, and we observe more than an order of magnitude improvement.

EyeOpener: Editing Eyes in the Wild

Closed eyes and look-aways in photographs often ruin precious captured moments. In this paper, we present a novel framework for eye-editing in photographs, in a fully automatic way. We leverage on a user's personal photo collection to find a ``good'' set of reference eyes, and transfer them onto the target image. Our example-based editing approach is robust and reliable for realistic image editing. A fully automatic pipeline for realistic eye-editing is challenging due to the unconstrained conditions under which the face appears in a typical photo collection. We use crowdsourcing to learn from human evaluations - what aspects of the target--reference image pair will produce realistic results. We subsequently train a model that automatically selects the best reference candidate(s) by narrowing the gap in terms of pose, local contrast, lighting conditions and even expressions. Finally, we develop a comprehensive pipeline of 3D face estimation, image warping, relighting, image harmonization, automatic segmentation and image compositing to achieve highly believable results. We evaluate the performance of our method via quantitative and crowd-sourced experiments.

Integration with Stochastic Point Processes

We present a new approach for analyzing error in integral estimation with point distributions based on point process statistics. We derive exact formulae for bias and variance of integral estimates in terms of the spatial or spectral characteristics of integrands, and first and second order product density measures of point patterns. The formulae allow us to study and design sampling schemes adapted to different classes of integrands by analyzing the effect of sampling density, weighting, and correlations among point locations separately. We then focus on non-adaptive correlated stratified sampling patterns and specialize the formulae to derive closed-form and easy-to-analyze expressions of bias and variance for various stratified sampling strategies. Based on these expressions, we perform a theoretical error analysis for integrands involving the discontinuous visibility function. We show that significant reductions in error can be obtained by considering alternative sampling strategies instead of the commonly used random jittering or low discrepancy patterns. The theoretical results agree with and extend various previous results. We validate them with extensive experiments on benchmark integrands as well as real scenes with soft shadows.

A Non-Parametric Factor Microfacet Model for Isotropic BRDFs

We investigate the expressiveness of the microfacet model for isotropic BRDFs measured from real materials. To do this, we introduce a non- parametric factor model that exploits the models functional structure but abandons restricted parametric formulations of its factors. We propose a new objective based on compressive weighting that controls rendering er- ror in high dynamic range BRDF fits better than previous factorization ap- proaches. We develop a simple numerical procedure to minimize this ob- jective and handle dependencies that arise between microfacet factors. Our method faithfully captures a more comprehensive set of materials than pre- vious parametric approaches, yet remains compact (3.2KB per BRDF). We compare several non-parametric formulations and experimentally validate the power of the microfacet model over a naive orthogonal factorization, and the greater fidelity that results from fitting an unrestricted shadow- ing/masking factor. We also compare against a recent data-driven factor- ization approach [Bilgili et al. 2011] and show that our microfacet-based representation improves rendering accuracy for most materials while re- ducing storage by more than a factor of 10.

Printed Perforated Lampshades for Continuous Projective Images

We present a technique for designing 3D-printed perforated lampshades, which project continuous grayscale images onto the surrounding walls. Given the geometry of the lampshade and a target grayscale image, our method computes a distribution of tiny holes over the shell, such that the combined footprints of the light emanating through the holes form the target image on a nearby diffuse surface. Our objective is to approximate the continuous tones and the spatial detail of the target image, to the extent possible within the constraints of the fabrication process. To ensure structural integrity, there are lower bounds on the thickness of the shell, the radii of the holes, and the minimal distances between adjacent holes. Thus, the holes are realized as thin tubes distributed over the lampshade surface. The core of our technique consists of determining a suitable configuration of the tubes: their distribution across the relevant portion of the lampshade, as well as the parameters (radius, tilt angle) of each tube. This is achieved by computing a capacity-constrained Voronoi tessellation over a suitably defined density function, and embedding a tube inside the maximal inscribed circle of each tessellation cell.

Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling

Effectively characterizing the behavior of deformable objects has wide applicability but remains challenging.We present a new rotation invariant deformation representation and a novel reconstruction algorithm to accurately reconstruct the positions and local rotations simultaneously. Meshes can be very efficiently reconstructed from our representation by matrix pre-decomposition, while at the same time, hard or soft constraints can be flexibly specified with only positions of handles needed. Our representation is thus particularly suitable for representing constrained deformations guided by examples, providing significant benefits over state-of-the-art representations. Based on this, we further propose novel data-driven approaches to mesh deformation and non-rigid registration of deformable objects. Both problems are formulated consistently as finding an optimized model in the shape space that satisfies boundary constraints, either specified by the user, or according to the scan. By effectively exploiting the knowledge in the shape space, our method produces realistic deformation results in real-time and produces high quality registrations from a template model to a single noisy scan captured using a low-quality depth camera, outperforming state-of-the-art methods.

Example-based Sketch Segmentation and Labeling using CRFs

We introduce a new approach for segmentation and label transfer in sketches that substantially improves over state-of-art. We build on successful techniques to find how likely each segment is to belong to a label, and use a Conditional Random Field to find the most probable global configuration. Our method is trained fully on the sketch domain, such that it can handle abstract sketches that are very far from 3d meshes. It also requires a small quantity of annotated data, which makes it easily adaptable to new datasets. The testing phase is completely automatic, and our performance is comparable to state-of-art methods that require manual tuning and a considerable amount of previous annotation.

A Probabilistic Model for Exteriors of Residential Buildings

We propose a new framework to model the exterior of residential buildings. The main goal of our work is to design a model that can be learned from data that is observable from the outside of a building and that can be trained with widely available data such as aerial images and street view images. First, we propose a parametric model to describe the exterior of a building (with a varying number of parameters) and propose a set of attributes as a building representation with fixed dimensionality. Second, we propose a hierarchical graphical model with hidden variables to encode the relationships between building attributes and derive the technical details how this graphical model can be learned from data. Third, we provide optimization algorithms to generate three-dimensional models based on building attributes sampled from the graphical model. Finally, we demonstrate how our framework is suitable for synthesizing new building models and for completing partially observed building models from photographs.

Non-Uniform Spatial Deformation of Light Fields by Locally Linear Transformations

Light field cameras offer new imaging possibilities compared to conventional digital cameras. The additional directional domain of light fields, however, prohibits direct application of frequently used image processing algorithms, such as warping, retargeting, or stitching. We present a general and efficient framework for non-uniform light-field warping, that forms the basis for extending many of these image processing techniques to light fields. It propagates arbitrary spatial deformations defined in one light-field perspective consistently to all other perspectives by means of 4D patch matching instead of relying on explicit depth reconstruction. This allows processing light-field recordings of complex scenes with non-Lambertian properties such as transparency and refraction. We show application examples of our framework in panorama light-field imaging, light-field retargeting and artistic manipulation of light fields.

Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples

Image pipelines arise frequently in modern computational photography systems and consist of multiple processing stages where each stage produces an intermediate image that serves as input to a future stage. Inspired by recent work on loop perforation [Sidiroglou-Douskos et al. 2011], this paper introduces image perforation, a new optimization technique that allows automatically exploring the space of performance-accuracy trade-offs within an image pipeline. Image perforation works by transforming loops over the image at each pipeline stage into coarser loops that effectively "skip" certain samples. These missing samples are reconstructed for later stages using a number of different interpolation strategies that are relatively inexpensive to perform compared to the original cost of computing the sample. We describe a genetic algorithm for automatically exploring the resulting combinatoric search space of which loops to perforate, in what manner, by how much, and using what reconstruction method. We also present a prototype language that implements image perforation along with several other domain-specific optimizations and show results for a number of different image pipelines and inputs. For these cases, image perforation achieves speedups of 2x-10x with acceptable loss in visual quality and significantly outperforms loop perforation.

Interactive High-Quality Green-Screen Keying via Color Unmixing

Due to the widespread use of compositing in contemporary feature films, green-screen keying has become an essential part of post-production workflows. To comply with the ever-increasing quality requirements of the industry, specialized compositing artists spend countless hours using multiple commercial software tools, while eventually having to resort to manual painting because of the many shortcomings of these tools. Due to the sheer amount of manual labor involved in the process, new green-screen keying approaches that produce better keying results with less user interaction are welcome additions to the compositing artist's arsenal. We found that --- contrary to the common belief in the research community --- production-quality green-screen keying is still an unresolved problem with its unique challenges. In this paper, we propose a novel green-screen keying method utilizing a new energy-minimization based color unmixing algorithm. We present comprehensive comparisons with commercial software packages and relevant methods in literature, which show that the quality of our results is superior to any other currently available green-screen keying solution. Importantly, we also show that using our method these high-quality results can be generated using only one-tenth of the manual editing time that a professional compositing artist requires to process the same content having all previous state-of-the-art tools at his disposal.

Bibliometrics

Publication Years 1982-2016
Publication Count 2625
Citation Count 71307
Available for Download 2623
Downloads (6 weeks) 36808
Downloads (12 Months) 313207
Downloads (cumulative) 3070762
Average downloads per article 1171
Average citations per article 27
First Name Last Name Award
Aseem Agarwala ACM Doctoral Dissertation Award
Honorable Mention (2006) ACM Doctoral Dissertation Award
Honorable Mention (2006)
Benjamin B Bederson ACM Distinguished Member (2011)
Kellogg S. Booth ACM Distinguished Member (2009)
ACM Senior Member (2009)
Ronan Boulic ACM Senior Member (2006)
Achi Brandt SIAM/ACM Prize in Computational Science and Engineering (2005)
Frederick Brooks ACM-IEEE CS Eckert-Mauchly Award (2004)
ACM A. M. Turing Award (1999)
ACM AAAI Allen Newell Award (1994)
ACM Distinguished Service Award (1987)
Bing-Yu Chen ACM Senior Member (2011)
Seth Cooper ACM Doctoral Dissertation Award (2011)
Thomas DeFanti Outstanding Contribution to ACM Award (1988)
James Demmel ACM Paris Kanellakis Theory and Practice Award (2014)
David S Ebert ACM Senior Member (2009)
Irfan A Essa ACM Senior Member (2008)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
David Harel ACM Software System Award (2007)
ACM Karl V. Karlstrom Outstanding Educator Award (1992)
Aaron Hertzmann ACM Distinguished Member (2015)
Derek Hoiem ACM Doctoral Dissertation Award
Honorable Mention (2008) ACM Doctoral Dissertation Award
Honorable Mention (2008)
Hui Huang ACM Senior Member (2016)
Warren A. Hunt ACM Distinguished Member (2015)
ACM Senior Member (2013)
Victoria L Interrante ACM Senior Member (2007)
Takeo Kanade ACM AAAI Allen Newell Award (2010)
Dina Katabi ACM Grace Murray Hopper Award (2012)
ACM Doctoral Dissertation Award
Honorable Mention (2003)
Donald E Knuth ACM Software System Award (1986)
ACM A. M. Turing Award (1974)
ACM Grace Murray Hopper Award (1971)
Daphne Koller ACM-Infosys Foundation Award in the Computing Sciences (2007)
James F. O'Brien ACM Distinguished Member (2009)
Ming Ouhyoung ACM Senior Member (2007)
Ravi Ramamoorthi ACM Distinguished Member (2015)
Sandy Ressler ACM Senior Member (2009)
Jarek Rossignac ACM Senior Member (2013)
Holly E Rushmeier ACM Distinguished Member (2006)
Hanan Samet ACM Paris Kanellakis Theory and Practice Award (2011)
Jeremy Sugerman ACM Software System Award (2009)
Subhash Suri ACM Distinguished Member (2007)
Ivan Sutherland ACM Software System Award (1993)
ACM A. M. Turing Award (1988)
Matthew A Turk ACM Senior Member (2007)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Eugene Zhang ACM Senior Member (2010)
Yuanyuan Zhou ACM Distinguished Member (2011)
Denis Zorin ACM Gordon Bell Prize
Performance (2010) ACM Gordon Bell Prize
Performance (2010)
Michael J Zyda ACM Senior Member (2009)
Andries van Dam ACM Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Daniel Cohen-Or 80
Frédo Durand 70
Baining Guo 61
Wojciech Matusik 56
Hans Seidel 56
Markus Gross 54
Kun Zhou 48
Heungyeung Shum 43
Ravi Ramamoorthi 42
Niloy Mitra 37
Ramesh Raskar 34
Szymon Rusinkiewicz 32
Jessica Hodgins 31
Kavita Bala 30
Maneesh Agrawala 30
Hugues Hoppe 29
James O'Brien 29
Doug James 29
Fabio Pellacini 29
Pat Hanrahan 27
Eitan Grinspun 27
Mark Pauly 26
Alla Sheffer 26
Peter Wonka 26
Henrik Jensen 26
Steve Marschner 26
Jovan Popovíc 26
Zoran Popović 26
Leonidas Guibas 25
Hujun Bao 24
Takeo Igarashi 24
Dani Lischinski 23
Mathieu Desbrun 23
Richard Szeliski 22
Hanspeter Pfister 22
Greg Turk 21
Shimin Hu 21
Bernd Bickel 21
Yaron Lipman 21
Shree Nayar 20
Olga Sorkine-Hornung 20
Ronald Fedkiw 20
Michael Cohen 20
Wojciech Jarosz 20
Helmut Pottmann 19
Thomas Funkhouser 19
Oliver Deussen 19
Vladlen Koltun 19
Wolfgang Heidrich 19
Denis Zorin 19
Liyi Wei 19
Adam Finkelstein 19
David Salesin 19
Jan Kautz 19
Raanan Fattal 18
Aseem Agarwala 18
Derek Nowrouzezahrai 18
Yizhou Yu 18
Jason Lawrence 18
George Drettakis 18
Peter Schröder 18
Tientsin Wong 18
Dinesh Pai 17
Pieter Peers 17
Hao Zhang 17
Matthias Zwicker 17
Michiel Van De Panne 17
Wilmot Li 17
Robert Bridson 16
C Liu 16
Olga Sorkine 16
William Freeman 16
Paul Debevec 16
Christian Theobalt 16
Stelian Coros 15
Jaakko Lehtinen 15
John Snyder 15
Johannes Kopf 15
Bernhard Thomaszewski 15
Dinesh Manocha 14
Julie Dorsey 14
Xin Tong 14
Jinxiang Chai 14
Brian Curless 14
Chris Wojtan 14
Tomas Akenine-Möller 14
Marc Alexa 14
Ariel Shamir 14
Stephen Lin 14
Bruce Walter 14
Tobias Ritschel 14
Sylvain Paris 14
Daniele Panozzo 13
Ilya Baran 13
Diego Nehab 13
Weiwei Xu 13
Sylvain Lefebvre 13
Marie Cani 13
Karol Myszkowski 13
Marc Levoy 13
Chikeung Tang 13
Carol O'Sullivan 13
Andrei Sharf 13
Jian Sun 13
Diego Gutierrez 13
Yang Liu 13
Donald Greenberg 13
Tao Ju 12
Aaron Hertzmann 12
Huamin Wang 12
Andrew Selle 12
Jernej Barbič 12
Tony DeRose 12
Wenping Wang 12
Ming Lin 12
Hao Zhang 12
Leif Kobbelt 12
Eli Shechtman 12
Tim Weyrich 12
Craig Gotsman 12
Alexander Hornung 12
Adrien Bousseau 12
Shuang Zhao 12
Toshiya Hachisuka 11
Shinjiro Sueda 11
Jin Huang 11
Connelly Barnes 11
Yue Dong 11
Johannes Wallner 11
Etienne Vouga 11
Douglas Lanman 11
Robert Sumner 11
Ladislav Kavan 11
Bruno Lévy 11
Jehee Lee 11
Baoquan Chen 11
Matthew Fisher 11
Dan Goldman 11
Adrien Treuille 11
Gordon Wetzstein 10
Steven Seitz 10
Jiaya Jia 10
Rasmus Tamstorf 10
Kai Xu 10
Ulrich Pinkall 10
Eftychios Sifakis 10
Singbing Kang 10
Matthias Hullin 10
Marc Stamminger 10
Tongyee Lee 10
John Hart 10
Yingqing Xu 10
Bedřich Beneš 10
Miguel Otaduy 10
Alec Jacobson 10
Jiaping Wang 10
Alexei Efros 10
Holly Rushmeier 10
Matthias Nießner 10
Wenzel Jakob 10
Markus Gross 10
Changxi Zheng 10
Pierre Alliez 10
Hui Huang 10
Scott Schaefer 10
Thabo Beeler 10
Yiying Tong 10
François Sillion 10
Elmar Eisemann 10
Mathieu Desbrun 9
Rahul Narain 9
Adam Bargteil 9
Michael Kazhdan 9
Jue Wang 9
Rafał Mantiuk 9
Minglun Gong 9
Joe Warren 9
Baoquan Chen 9
Daniel Aliaga 9
Timo Aila 9
Philip Dutré 9
Rui Wang 9
KangKang Yin 9
Nancy Pollard 9
Jarek Rossignac 9
Nathan Carr 9
Hendrik Lensch 9
Sylvain Paris 9
Kayvon Fatahalian 9
Todd Zickler 8
Charles Loop 8
Chiwing Fu 8
Marcus Magnor 8
Michael Gleicher 8
Pradeep Sen 8
Derek Bradley 8
Edward Adelson 8
Michael Goesele 8
François Faure 8
Long Quan 8
Tomoyuki Nishita 8
Peter Belhumeur 8
Keenan Crane 8
Nuttapong Chentanez 8
Fernando De Goes 8
Marco Tarini 8
Matt Uyttendaele 8
Phengann Heng 8
Michael Garland 8
James Tompkin 8
Craig Donner 8
Cyril Soler 8
Miloš Hašan 8
Kalyan Sunkavalli 8
Vladimir Kim 8
Qiming Hou 8
Hongbo Fu 8
Peter Sloan 8
Jaroslav Křivánek 8
Xin Tong 8
Piotr Didyk 8
Jonathan Ragan-Kelley 8
Ping Tan 8
Ofir Weber 7
Michael Zollhöfer 7
Michael Rubinstein 7
Linjie Luo 7
Shahram Izadi 7
Ravi Ramamoorthi 7
Felix Heide 7
Theodore Kim 7
David Bommes 7
Ayellet Tal 7
Matthias Müller 7
Victor Ostromoukhov 7
Mark Horowitz 7
Doug DeCarlo 7
Peter Shirley 7
Michael Wimmer 7
John Hughes 7
Pitchaya Sitthi-amorn 7
Christopher Batty 7
John Owens 7
Andrew Adams 7
Ligang Liu 7
Nico Pietroni 7
Yoshinori Dobashi 7
Yotam Gingold 7
Karan Singh 7
Demetri Terzopoulos 7
Maks Ovsjanikov 7
Brian Barsky 7
Danny Kaufman 7
David Forsyth 7
Oliver Van Kaick 7
Robert Sumner 7
Nils Thuerey 7
Carsten Dachsbacher 7
Hao Li 7
Abhijeet Ghosh 7
Daniel Vlasic 7
Tamy Boubekeur 7
Jörg Peters 7
William Mark 7
Paul Beardsley 7
Joseph Teran 6
Kurt Akeley 6
Anat Levin 6
John Keyser 6
Marcel Campen 6
Frank Losasso 6
David Luebke 6
Manuel Oliveira 6
Pedro Sander 6
Boris Neubert 6
Xinguo Liu 6
Hyeongseok Ko 6
Brian Wyvill 6
Nicolas Ray 6
Noam Aigerman 6
Qixing Huang 6
Emily Whiting 6
Okan Arikan 6
Erik Reinhard 6
Sungeui Yoon 6
Rachel McDonnell 6
Thorsten Thormählen 6
Max Wardetzky 6
Eugene Zhang 6
Leonard McMillan 6
Valerio Pascucci 6
Matthew Hirsch 6
Evangelos Kalogerakis 6
Roger Hersch 6
Ivo Ihrke 6
Chiewlan Tai 6
James Ferwerda 6
Kari Pulli 6
Hao Li 6
Yuting Ye 6
Ron Goldman 6
Thomas Funkhouser 6
Paolo Cignoni 6
Yonghao Yue 6
Chandrajit Bajaj 6
Elaine Cohen 6
David Dobkin 6
Bart Adams 6
Noah Snavely 6
Floraine Berthouzoz 6
Solomon Boulos 6
Mirela Ben Chen 6
Enrico Puppo 6
Zeev Farbman 6
Andrew Nealen 6
Mario Botsch 6
Petrik Clarberg 6
Tim Hawkins 6
Yongjoon Lee 6
Yaser Sheikh 6
Ariel Shamir 6
Yushuen Wang 5
Sebastian Martin 5
Christoph Von Tycowicz 5
Dinesh Manocha 5
Igor Mordatch 5
Greg Ward 5
Makoto Okabe 5
Nobuyuki Umetani 5
Sofien Bouaziz 5
Moritz Bächer 5
John Anderson 5
David Harmon 5
Ren Ng 5
Jack Tumblin 5
Alec Rivers 5
Ravish Mehra 5
Klaus Hildebrandt 5
John Lewis 5
Florence Bertails-Descoubes 5
Shimin Hu 5
Justin Solomon 5
Saikit Yeung 5
Chongyang Ma 5
Joelle Thollot 5
Andreas Weber 5
Jonathantyler Moon 5
Jon Hasselgren, 5
Naga Govindaraju 5
Tobias Pfaff 5
Changxi Zheng 5
Stefan Jeschke 5
Graham Fyffe 5
Shai Avidan 5
David Levin 5
Yingge Qu 5
Reinhard Klein 5
Nicolas Holzschuch 5
Patrick Mullen 5
Min Kim 5
Martin Bokeloh 5
Olga Sorkine 5
Eugene Fiume 5
Michael Nielsen 5
David Cohen-Steiner 5
Honghua Li 5
Amit Agrawal 5
Aleksey Golovinskiy 5
Zhong Ren 5
Ying He 5
Bingyu Chen 5
Seungyong Lee 5
Brian Guenter 5
Mingming Cheng 5
Christian Schulz 5
Ken Museth 5
Jianyuan Min 5
Amir Vaxman 5
Libin Liu 5
Pascal Barla 5
Sebastian Thrun 5
Gabriel Taubin 5
Ulf Assarsson 5
Niloy Mitra 5
Min Tang 5
James Gregson 5
Ashish Myles 5
Jianmin Zheng 5
Jacob Munkberg 5
Srinivasa Narasimhan 5
Yiying Tong 5
Xiaohan Shi 5
Arno Zinke 5
Xin Tong 5
Adam Arbree 5
Youngjun Kim 5
Carsten Dachsbacher 5
Ramesh Raskar 5
Ares Lagae 5
Lvdi Wang 5
Dongming Yan 5
Charles Zitnick 5
Oliver Wang 5
Stephen DiVerdi 5
Martin Kilian 5
Xin Sun 5
Nils Thürey 5
Philipp Slusallek 5
Yungyu Chuang 5
Yongliang Yang 5
Michael Wand 5
Paul Kry 5
Aaron Hertzmann 5
Cem Yuksel 5
Derek Bradley 5
Carsten Rother 5
Samuli Laine 5
Jonathan Shewchuk 5
Johannes Schmid 5
Steven Drucker 4
Robert Klassen 4
Kai Hormann 4
Scott Hudson 4
William Cowan 4
Adrian Butscher 4
Bin Wang 4
Anjul Patney 4
David Levin 4
Nikunj Raghuvanshi 4
Greg Humphreys 4
Xi Wang 4
Victor Zordan 4
James Hays 4
Kartic Subr 4
Leif Kobbelt 4
Anton Kaplanyan 4
Lakulish Antani 4
Robert Carroll 4
Qionghai Dai 4
Jay Busch 4
Kiriakos Kutulakos 4
Michael Schwarz 4
Naureen Mahmood 4
Nicholas Vining 4
Kenshi Takayama 4
Thomas Sederberg 4
Forrester Cole 4
Melina Skouras 4
Barbara Solenthaler 4
Lingqi Yan 4
Bo Sun 4
Robert Cook 4
Falai Chen 4
David Levin 4
Radomír Měch 4
Breannan Smith 4
Jun Mitani 4
Sören Pirk 4
Taku Komura 4
Katherine Breeden 4
Chaohui Shen 4
Martin Wicke 4
Ran Gal 4
Shiqing Xin 4
Matthew O'Toole 4
Ligang Liu 4
Pascal Müller 4
Siddhartha Chaudhuri 4
Martin Fuchs 4
Michael Burns 4
Philippe Beaudoin 4
Ruizhen Hu 4
Martin Banks 4
Roi Poranne 4
Christian Theobalt 4
Matthias Teschner 4
Zhigang Deng 4
Gilbert Bernstein 4
Benjamin Gilles 4
Jeongmo Hong 4
Menglei Chai 4
Billy Chen 4
Yanyun Chen 4
Art Tevs 4
Simon Heinzle 4
Vitor Pamplona 4
Peter Kaufmann 4
Soheil Darabi 4
Ken Perlin 4
Jos Stam 4
Iman Sadeghi 4
David Jacobs 4
Kevin Wampler 4
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