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Deep Correlations for Texture Synthesis

Example-based texture synthesis has been an active research problem for over two decades. Still, synthesizing textures with nonlocal structures remains a challenge. In this article, we present a texture synthesis technique that builds upon convolutional neural networks and extracted statistics of pretrained deep features. We introduce a structural... (more)

Efficient Solver for Spacetime Control of Smoke

We present a novel algorithm to control the physically-based animation of smoke. Given a set of keyframe smoke shapes, we compute a dense sequence of control force fields that can drive the smoke shape to match several keyframes at certain time instances. Our approach formulates this control problem as a spacetime optimization constrained by... (more)

A Schur Complement Preconditioner for Scalable Parallel Fluid Simulation

We present an algorithmically efficient and parallelized domain decomposition based approach to solving Poisson’s equation on irregular domains.... (more)

Two-Scale Topology Optimization with Microstructures

In this article, we present a novel two-scale framework to optimize the structure and the material distribution of an object given its functional... (more)

Practical Acquisition and Rendering of Diffraction Effects in Surface Reflectance

We propose two novel contributions for measurement-based rendering of diffraction effects in surface reflectance of planar homogeneous diffractive... (more)

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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
MergeTree: A Fast Hardware HLBVH Constructor for Animated Ray Tracing

Ray tracing is a computationally intensive rendering technique traditionally used in offline high-quality rendering. Powerful hardware accelerators have been recently developed which put real-time ray tracing even in the reach of mobile devices. However, rendering animated scenes remains difficult, as updating the acceleration trees for each frame is a memory-intensive process. This article proposes MergeTree, the first hardware architecture for Hierarchial Linear Bounding Volume Hierarchy (HLBVH) construction, designed to minimize memory traffic. For evaluation, the hardware constructor is synthesized on a 28nm CMOS process technology. Compared to a state-of-the-art binned SAH builder, the present work speeds up construction by a factor of 5, reduces build energy by a factor of 3.2, and memory traffic by a factor of 3. A software HLBVH builder on GPU requires 3.3 times more memory traffic. In order to take tree quality into account, a rendering accelerator is modeled alongside the builder. Given the use of a toplevel build to improve tree quality, the proposed builder reduces system energy per frame by an average 41% with primary rays and 13% with diffuse rays. In large (> 500K triangles) scenes, the difference is more pronounced, 62% and 35%, respectively.

Boundary First Flattening

A conformal flattening maps a curved surface to the plane without distorting angles---such maps have become a fundamental building block for problems in geometry processing, numerical simulation, and computational design. Yet existing methods provide little direct control over the shape of the flattened domain, or else demand expensive nonlinear optimization. Boundary first flattening (BFF) is a linear method for conformal parameterization which is faster than traditional linear methods, yet provides control and quality comparable to sophisticated nonlinear schemes. The key insight is that boundary data can be efficiently constructed via the Cherrier formula together with a pair of Poincare-Steklov operators; once the boundary is known, the map is easily extended over the rest of the domain. Since computation demands only a single factorization of the real Laplacian, the amortized cost is about 50x less than any previous technique for boundary-controlled conformal flattening. BFF therefore opens the door to real-time editing or fast optimization of high-resolution maps, with direct control over boundary length or angle. We apply this method to maps with sharp corners, cone singularities, minimal area distortion, and uniformization; we also demonstrate for the first time how a surface can be conformally flattened directly onto any given target shape.

Wasserstein Blue Noise Sampling

Sampling is a core component of many applications including: imaging, rendering, geometry processing and visualization. Prior research has primarily focused on blue noise sampling with a single class of samples. Limited research has been done on multi-class sampling. Multi-class blue noise sampling is still a challenging problem when the density distribution of every class is non-uniform and different from each other. In this paper, we present a Wasserstein blue noise sampling algorithm for multi-class sampling by throwing samples as the Wasserstein barycenter of multiple density distributions. We employ a more general representation of the optimal transport problem to break up the partition necessary in other optimal sampling. Moreover, an adaptive blue noise distribution property for every individual class is guaranteed, as well as their combined class. The sampling efficiency is also improved by applying the Wasserstein distance with entropic constraints. Our method can be applied to multi-class sampling on the point set surface. We also demonstrate applications in object distribution and color stippling.

Reversible Jump Metropolis Light Transport using Inverse Mappings

We study Markov Chain Monte Carlo (MCMC) methods operating in primary sample space and their interactions with multiple sampling techniques. We observe that incorporating the sampling technique into the state of the Markov Chain, as done in Multiplexed Metropolis Light Transport (MMLT), impedes the ability of the chain to properly explore path space, as transitions between sampling techniques lead to disruptive alterations of path samples. To address this issue, we reformulate Multiplexed MLT in the Reversible Jump MCMC framework (RJMCMC) and introduce inverse sampling techniques that turn light paths into the random numbers that produce them. This allows us to formulate a novel perturbation that can locally transition between sampling techniques, and we derive the correct acceptance probability using RJMCMC. We investigate how to generalize this concept to non-invertible sampling techniques commonly found in practice, and introduce probabilistic inverses that extend our perturbation to cover most sampling methods found in light transport simulations. Our theory reconciles the inverses with RJMCMC yielding an unbiased algorithm, which we call Reversible Jump MLT (RJMLT). We verify the correctness of our implementation in canonical and practical scenarios and demonstrate improved temporal coherence, decrease in structured artifacts, and faster convergence on a variety of scenes.

Woven Fabric Model Creation from a Single Image

We present a fast, novel image-based technique, for reverse engineering the Bidirectional Texture Function (BTF) of woven fabrics. In order to recover our models, we estimate a depth map and a set of yarn parameters (yarn width, yarn crossovers and so on) from spatial and frequency domain cues. We solve for the woven fabric pattern, and from this build a volumetric data set. We use a combination of image space analysis, frequency domain analysis and in challenging cases match image statistics with those from previously captured known patterns. Our method determines, from a single digital image, the woven cloth structure, depth and albedo, thus removing the need for separately measured depth data. The focus of this work is on the rapid acquisition of woven cloth structure and therefore we use standard approaches to render the results. Our pipeline first estimates the weave pattern, yarn characteristics, albedo and noise statistics using a novel combination of low level image processing and Fourier Analysis. Next, we estimate a depth map for the fabric sample using a first order Markov chain and our estimated noise model as input. A volumetric BTF model is constructed from the recovered depth and albedo maps.

Mastering Sketching: Adversarial Augmentation for Structured Prediction

We present an integral framework for training sketch simplification networks that convert challenging rough sketches into clean line drawings. Our approach augments a simplification network with a discriminator network, training both networks jointly so that the discriminator network discerns whether a line drawing is a real training data or the output of the simplification network, which in turn tries to fool it. This approach not only encourages the output sketches to be more similar in appearance to the training sketches, but allows training with additional unsupervised data. By training with additional rough sketches and line drawings that are not corresponding to each other, we can improve the quality of the sketch simplification. Our models that significantly outperform the state of the art in the sketch simplification task, and show we can also optimize for a single image, which improves accuracy at the cost of additional computation time. Using the same framework, it is possible to train the network to perform pencil drawing generation, which is not possible using the standard mean squared error loss. We validate our framework with two user tests, where our approach is preferred to the state of the art in sketch simplification 88.9% of the time.

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

Many graphics and vision problems are naturally expressed as optimizations with either linear or non-linear least squares objective functions over visual data, such as images and meshes. The mathematical descriptions of these functions are extremely concise, but their implementation in real code is tedious, especially when optimized for real-time performance in interactive applications. We propose a new language, Opt in which a user simply writes energy functions over image- or graph-structured unknowns, and a compiler automatically generates state-of-the-art GPU optimization kernels. The end result is a system in which real-world energy functions in graphics and vision applications are expressible in tens of lines of code. They compile directly into highly-optimized GPU solver implementations with performance competitive with the best published hand-tuned, application-specific GPU solvers, and 1--2 orders of magnitude beyond a general-purpose auto-generated solver.

Implicitizing Rational Tensor Product Surfaces by the Resultant of Three Moving Planes

Implicitizing rational surfaces is a fundamental computational task in Algorithmic Algebraic Geometry. Although the resultant of three moving planes corresponding to a ¼-basis for a rational surface is guaranteed to contain the implicit equation of the surface as a factor, ¼-bases for rational surfaces are difficult to compute. Moreover, ¼-bases often have high degrees, so these resultants generally contain many extraneous factors. Here we develop fast algorithms to implicitize rational tensor product surfaces by computing the resultant of three moving planes corresponding to three syzygies with low degrees. These syzygies are easy to compute, and the resultants of the corresponding moving planes generally contain fewer extraneous factors than the resultants of the moving planes corresponding to ¼-bases. We predict and compute all the possible extraneous factors that may appear in these resultants. Examples are provided to clarify and illuminate the theory.

Bibliometrics

Publication Years 1982-2017
Publication Count 3047
Citation Count 88532
Available for Download 3006
Downloads (6 weeks) 76163
Downloads (12 Months) 353385
Downloads (cumulative) 3464939
Average downloads per article 1153
Average citations per article 29
First Name Last Name Award
Aseem Agarwala ACM Doctoral Dissertation Award
Honorable Mention (2006) ACM Doctoral Dissertation Award
Honorable Mention (2006)
Narendra Ahuja ACM Fellows (1996)
Kurt B Akeley ACM Fellows (1996)
Ronald M Baecker ACM Fellows (2011)
Chandrajit L. Bajaj ACM Fellows (2009)
Alan H Barr ACM Fellows (1995)
Benjamin B Bederson ACM Distinguished Member (2011)
Kellogg S. Booth ACM Distinguished Member (2009)
ACM Senior Member (2009)
Alan H Borning ACM Fellows (2001)
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 Fellows (1994)
ACM Distinguished Service Award (1987)
William A.S. Buxton ACM Fellows (2008)
Stuart K. Card ACM Fellows (2000)
Bernard Chazelle ACM Fellows (1996)
Bing-Yu Chen ACM Senior Member (2011)
Michael F. Cohen ACM Fellows (2007)
Rob Cook ACM Fellows (1999)
Seth Cooper ACM Doctoral Dissertation Award (2011)
Thomas DeFanti ACM Fellows (1994)
Outstanding Contribution to ACM Award (1988)
James Demmel ACM Paris Kanellakis Theory and Practice Award (2014)
ACM Fellows (1999)
David P Dobkin ACM Fellows (1997)
Fredo Durand ACM Fellows (2016)
David S Ebert ACM Senior Member (2009)
Alexei A. Efros ACM Prize in Computing (2016)
David Eppstein ACM Fellows (2011)
Irfan A Essa ACM Senior Member (2008)
Adam Finkelstein ACM Fellows (2014)
James D Foley ACM Fellows (1999)
David Forsyth ACM Fellows (2013)
William Freeman ACM Fellows (2016)
Henry Fuchs ACM Fellows (1995)
Robert M Geist ACM Distinguished Member (2009)
Michael L Gleicher ACM Distinguished Member (2011)
Mashhuda Glencross ACM Senior Member (2017)
Donald Greenberg ACM Fellows (1995)
Markus Gross ACM Fellows (2012)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
ACM Fellows (1999)
Baining Guo ACM Fellows (2011)
John Guttag ACM Fellows (2006)
Pat Hanrahan ACM Fellows (2008)
David Harel ACM Software System Award (2007)
ACM Fellows (1994)
ACM Karl V. Karlstrom Outstanding Educator Award (1992)
Haitham Hassanieh ACM Doctoral Dissertation Award (2016)
Aaron Hertzmann ACM Distinguished Member (2015)
Derek Hoiem ACM Doctoral Dissertation Award
Honorable Mention (2008) ACM Doctoral Dissertation Award
Honorable Mention (2008)
Hugues Hoppe ACM Fellows (2011)
Mark A Horowitz ACM Fellows (2003)
Hui Huang ACM Senior Member (2016)
Warren Alva Hunt ACM Distinguished Member (2015)
ACM Senior Member (2013)
Victoria L Interrante ACM Senior Member (2007)
Robert J.K. Jacob ACM Fellows (2016)
Takeo Kanade ACM AAAI Allen Newell Award (2010)
ACM Fellows (1999)
Dina Katabi ACM Fellows (2013)
ACM Grace Murray Hopper Award (2012)
ACM Doctoral Dissertation Award
Honorable Mention (2003)
Donald E Knuth ACM Fellows (1994)
ACM Software System Award (1986)
ACM A. M. Turing Award (1974)
ACM Grace Murray Hopper Award (1971)
Daphne Koller ACM Prize in Computing (2007)
Marc Levoy ACM Fellows (2007)
Henry M Levy ACM Fellows (1996)
Ming C Lin ACM Fellows (2011)
Jock D Mackinlay ACM Distinguished Member (2013)
Dinesh Manocha ACM Fellows (2009)
Michael Mitzenmacher ACM Fellows (2014)
J Nievergelt ACM Fellows (1995)
James F. O'Brien ACM Distinguished Member (2009)
Dan R Olsen ACM Fellows (2006)
Ming Ouhyoung ACM Senior Member (2007)
Renato Pajarola ACM Senior Member (2016)
Franco P Preparata ACM Fellows (1995)
Abtin Rahimian ACM Gordon Bell Prize
Performance (2010) ACM Gordon Bell Prize
Performance (2010)
Ravi Ramamoorthi ACM Distinguished Member (2015)
Sandy Ressler ACM Senior Member (2009)
Jarek Rossignac ACM Senior Member (2013)
Holly E Rushmeier ACM Fellows (2016)
ACM Distinguished Member (2006)
David H Salesin ACM Fellows (2002)
Hanan Samet ACM Paris Kanellakis Theory and Practice Award (2011)
ACM Fellows (1996)
Peter Schroeder ACM Fellows (2015)
Micha Sharir ACM Fellows (1997)
Stuart Shieber ACM Fellows (2014)
Ben Shneiderman ACM Fellows (1997)
Jeremy Sugerman ACM Software System Award (2009)
Subhash Suri ACM Fellows (2010)
ACM Distinguished Member (2007)
Ivan Sutherland ACM Fellows (1994)
ACM Software System Award (1993)
ACM A. M. Turing Award (1988)
Richard Szeliski ACM Fellows (2008)
Shang-Hua Teng ACM Fellows (2009)
Demetri Terzopoulos ACM Fellows (2007)
Matthew A Turk ACM Senior Member (2007)
Baba C Vemuri ACM Fellows (2009)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
J Turner Whitted ACM Fellows (1995)
Kai Xu ACM Senior Member (2017)
KangKang Yin ACM Senior Member (2016)
Eugene Zhang ACM Senior Member (2010)
Lixia Zhang ACM Fellows (2006)
Yuanyuan Zhou ACM Fellows (2013)
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 Fellows (1994)
ACM Karl V. Karlstrom Outstanding Educator Award (1993)
Andries van Dam ACM Fellows (1994)
ACM Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Daniel Cohen-Or 86
Frédo Durand 77
Wojciech Matusik 71
Hans Seidel 65
Baining Guo 61
Markus Gross 61
Kun Zhou 56
Ravi Ramamoorthi 52
Niloy Mitra 47
Heungyeung Shum 43
Jessica Hodgins 37
Ramesh Raskar 34
Eitan Grinspun 34
Szymon Rusinkiewicz 34
Alla Sheffer 33
Leonidas Guibas 33
Maneesh Agrawala 33
Doug James 33
Steve Marschner 32
Fabio Pellacini 32
Mathieu Desbrun 32
Peter Wonka 31
Hugues Hoppe 31
Kavita Bala 31
Pat Hanrahan 30
Mark Pauly 29
James O'Brien 29
Henrik Jensen 28
Hujun Bao 27
Yaron Lipman 27
Jovan Popović 27
Christian Theobalt 27
Bernd Bickel 26
Zoran Popović 26
Olga Sorkine-Hornung 25
Takeo Igarashi 25
Dani Lischinski 24
Wojciech Jarosz 24
Shimin Hu 23
Yizhou Yu 23
Richard Szeliski 23
Denis Zorin 23
Hanspeter Pfister 23
Derek Nowrouzezahrai 22
Michiel Van De Panne 22
Adam Finkelstein 22
Wolfgang Heidrich 22
Tientsin Wong 22
Jan Kautz 22
Greg Turk 21
Shree Nayar 21
Hao Zhang 21
Oliver Deussen 21
Michael Cohen 21
Ronald Fedkiw 20
George Drettakis 20
Vladlen Koltun 20
Peter Schröder 20
Johannes Kopf 20
Daniele Panozzo 19
Helmut Pottmann 19
Thomas Funkhouser 19
Stelian Coros 19
Pieter Peers 19
Jaakko Lehtinen 19
Jason Lawrence 19
Wilmot Li 19
Liyi Wei 19
David Salesin 19
Hui Huang 19
Dinesh Pai 18
Aseem Agarwala 18
Raanan Fattal 18
Sylvain Lefebvre 18
Robert Bridson 18
Karol Myszkowski 18
Matthias Zwicker 18
Eli Shechtman 18
Chris Wojtan 18
Diego Gutierrez 18
Bernhard Thomaszewski 18
William Freeman 17
Marc Alexa 17
Ariel Shamir 17
Paul Debevec 17
Dinesh Manocha 16
Julie Dorsey 16
C Liu 16
Jinxiang Chai 16
Leif Kobbelt 16
Olga Sorkine 16
Bedřich Beneš 16
Changxi Zheng 16
Ladislav Kavan 16
Piotr Didyk 16
Tobias Ritschel 16
Tao Ju 15
Ilya Baran 15
Jernej Barbič 15
John Snyder 15
Andrei Sharf 15
Brian Curless 15
Tomas Akenine-Möller 15
Matthias Nießner 15
Bruno Lévy 15
Sylvain Paris 15
Gordon Wetzstein 14
Weiwei Xu 14
Diego Nehab 14
Marie Cani 14
Tony DeRose 14
Xin Tong 14
Marc Levoy 14
Yue Dong 14
Miguel Otaduy 14
Thabo Beeler 14
Stephen Lin 14
Bruce Walter 14
Yang Liu 14
Nathan Carr 14
Nils Thuerey 14
Adrien Bousseau 14
Baoquan Chen 14
Shuang Zhao 14
Kai Xu 13
Huamin Wang 13
Toshiya Hachisuka 13
Wenping Wang 13
Andrew Selle 13
Chikeung Tang 13
Ming Lin 13
Connelly Barnes 13
Carol O'Sullivan 13
Alec Jacobson 13
Vladimir Kim 13
Jian Sun 13
Jaroslav Křivánek 13
Danny Kaufman 13
Donald Greenberg 13
Steven Seitz 12
Ofir Weber 12
Michael Zollhöfer 12
Aaron Hertzmann 12
Ulrich Pinkall 12
Eftychios Sifakis 12
Singbing Kang 12
Michael Kazhdan 12
Hao Zhang 12
Marco Tarini 12
Jin Huang 12
Marc Stamminger 12
Daniel Aliaga 12
Christopher Batty 12
Etienne Vouga 12
Timo Aila 12
Douglas Lanman 12
Holly Rushmeier 12
Alexei Efros 12
Tim Weyrich 12
Karan Singh 12
Wenzel Jakob 12
Craig Gotsman 12
Xin Tong 12
Alexander Hornung 12
Pierre Alliez 12
JeHee Lee 12
Matthew Fisher 12
Kayvon Fatahalian 12
Dan Goldman 12
Shahram Izadi 11
Rasmus Tamstorf 11
Jiaya Jia 11
Derek Bradley 11
Michael Goesele 11
Shinjiro Sueda 11
Matthias Hullin 11
Fernando De Goes 11
Kalyan Sunkavalli 11
Johannes Wallner 11
Yotam Gingold 11
KangKang Yin 11
Scott Schaefer 11
Oliver Van Kaick 11
Jonathan Ragan-Kelley 11
Adrien Treuille 11
Felix Heide 10
Rahul Narain 10
David Bommes 10
Adam Bargteil 10
David Levin 10
Keenan Crane 10
Baoquan Chen 10
Tongyee Lee 10
Yingqing Xu 10
John Hart 10
Pitchaya Sitthi-amorn 10
Justin Solomon 10
Jiaping Wang 10
Andrew Adams 10
Maks Ovsjanikov 10
Robert Sumner 10
Markus Gross 10
Philip Dutré 10
Elmar Eisemann 10
Sylvain Paris 10
Yiying Tong 10
François Sillion 10
Noam Aigerman 9
Nicolas Ray 9
Michael Gleicher 9
Pradeep Sen 9
Jue Wang 9
Dinesh Manocha 9
Minglun Gong 9
Phengann Heng 9
Rafał Mantiuk 9
Joe Warren 9
Mirela Ben-Chen 9
Qiming Hou 9
Rui Wang 9
Joseph Teran 9
Jarek Rossignac 9
Marcel Campen 9
Nancy Pollard 9
Abhijeet Ghosh 9
Carsten Dachsbacher 9
Pascal Barla 9
Hendrik Lensch 9
Ruizhen Hu 8
Todd Zickler 8
Chiwing Fu 8
Charles Loop 8
Marcus Magnor 8
Edward Adelson 8
François Faure 8
Victor Ostromoukhov 8
Tomoyuki Nishita 8
Long Quan 8
Peter Belhumeur 8
Mark Horowitz 8
Sofien Bouaziz 8
Matt Uyttendaele 8
Michael Wimmer 8
Nuttapong Chentanez 8
Paolo Cignoni 8
Michael Garland 8
James Tompkin 8
Miloš Hašan 8
Cyril Soler 8
Craig Donner 8
Tunç Aydın 8
Daniel Sýkora 8
Nico Pietroni 8
Lingqi Yan 8
Peter Sloan 8
Hongbo Fu 8
Eugene Fiume 8
Manuel Oliveira 8
David Luebke 8
Hao Li 8
Amir Vaxman 8
Robert Sumner 8
Tamy Boubekeur 8
Ping Tan 8
Qixing Huang 8
Linjie Luo 7
Roi Poranne 7
Michael Rubinstein 7
Emily Whiting 7
Ravi Ramamoorthi 7
Dongming Yan 7
Michael Black 7
Theodore Kim 7
Stephen DiVerdi 7
Oliver Wang 7
Martin Kilian 7
Ayellet Tal 7
Belen Masia 7
Matthias Müller 7
Evangelos Kalogerakis 7
Anton Kaplanyan 7
Doug Decarlo 7
Peter Shirley 7
Nicholas Vining 7
Nima Kalantari 7
Aljoscha Smolić 7
Tianjia Shao 7
John Hughes 7
John Lewis 7
John Owens 7
Chongyang Ma 7
Saikit Yeung 7
Floraine Berthouzoz 7
Ligang Liu 7
Noah Snavely 7
Junyong Noh 7
Yoshinori Dobashi 7
Mario Botsch 7
Marc Pollefeys 7
Demetri Terzopoulos 7
Min Kim 7
Brian Barsky 7
Petrik Clarberg 7
Taku Komura 7
Ariel Shamir 7
David Forsyth 7
Paul Beardsley 7
Jan Novák 7
William Mark 7
Daniel Vlasic 7
Jörg Peters 7
Honghua Li 6
Ligang Liu 6
Kurt Akeley 6
David Cohen-Steiner 6
Zhong Ren 6
John Keyser 6
Anat Levin 6
Pedro Sander 6
Frank Losasso 6
Ken Museth 6
Gabriel Brostow 6
Boris Neubert 6
Brian Wyvill 6
Xinguo Liu 6
Jacob Munkberg 6
Hyeongseok Ko 6
Ondřej Jamriška 6
Gilbert Bernstein 6
Srinivasa Narasimhan 6
Menglei Chai 6
Samuel Hasinoff 6
Erik Reinhard 6
Okan Arikan 6
Sungeui Yoon 6
Rachel McDonnell 6
Duygu Ceylan 6
Wenping Wang 6
Max Wardetzky 6
Matthew Hirsch 6
Valerio Pascucci 6
Eugene Zhang 6
Leonard McMillan 6
Laurent Belcour 6
Yongliang Yang 6
Aaron Hertzmann 6
Roger Hersch 6
Samuli Laine 6
Hao Li 6
Derek Bradley 6
Yuting Ye 6
Cem Yuksel 6
Chiewlan Tai 6
Kari Pulli 6
James Ferwerda 6
Ivo Ihrke 6
Ron Goldman 6
Moritz Bächer 6
Thomas Funkhouser 6
Nobuyuki Umetani 6
Yonghao Yue 6
Elaine Cohen 6
Florence Bertails-Descoubes 6
Chandrajit Bajaj 6
Sunghee Lee 6
Shahar Kovalsky 6
Jon Hasselgren, 6
Bart Adams 6
Solomon Boulos 6
Joëlle Thollot 6
David Dobkin 6
Ibraheem Alhashim 6
Stefan Jeschke 6
Enrico Puppo 6
Mélina Skouras 6
Andrew Nealen 6
Tim Foley 6
Shiqing Xin 6
Sören Pirk 6
Zeev Farbman 6
Yaser Sheikh 6
Yongjoon Lee 6
Tim Hawkins 6
Arno Zinke 5
Fabrice Rousselle 5
Youngjun Kim 5
Xiaohan Shi 5
Carsten Dachsbacher 5
Xin Tong 5
Adam Arbree 5
Aaron Lefohn 5
Julien Pettré 5
Kevin Wampler 5
Mark Meyer 5
Amit Bermano 5
Miika Aittala 5
Chen Greif 5
Rui Wang 5
Nicolas Bonneel 5
Nils Thürey 5
Yanlin Weng 5
Xin Sun 5
Gaël Guennebaud 5
Yungyu Chuang 5
Ignacio Garcia-Dorado 5
Philipp Slusallek 5
Thorsten Thormählen 5
Michael Wand 5
Paul Kry 5
Tiantian Liu 5
Paul Asente 5
Paul Guerrero 5
Anjul Patney 5
Chenglei Wu 5
Lapfai Yu 5
Yushuen Wang 5
Johannes Schmid 5
Qionghai Dai 5
Sebastian Martin 5
James Hays 5
Christoph Von Tycowicz 5
Igor Mordatch 5
Jonathan Shewchuk 5
Carsten Rother 5
James McCann 5
Jay Busch 5
Makoto Okabe 5
Kiriakos Kutulakos 5
Jérémie Dumas 5
Greg Ward 5
Manolis Savva 5
Miloš Hašan 5
Ravish Mehra 5
Klaus Hildebrandt 5
Alec Rivers 5
Shimin Hu 5
David Harmon 5
Jack Tumblin 5
John Anderson 5
Ren Ng 5
Martin Šik 5
Craig Schroeder 5
Changxi Zheng 5
Tobias Pfaff 5
Andreas Weber 5
Naga Govindaraju 5
Jonathantyler Moon 5
Simon Fuhrmann 5
Graham Fyffe 5
Eric Heitz 5
Reinhard Klein 5
Michael Nielsen 5
David Levin 5
Patrick Mullen 5
Radomír Mĕch 5
Romain Vergne 5
Breannan Smith 5
Martin Bokeloh 5
Olga Sorkine 5
Shai Avidan 5
David Levin 5
Nicolas Holzschuch 5
Thomas Sederberg 5
Yingge Qu 5
Oliver Bimber 5
Adriana Schulz 5
Aron Monszpart 5
Gaurav Chaurasia 5
Ying He 5
Bingyu Chen 5
Seungyong Lee 5
Christian Schulz 5
Roland Fleming 5
Mingming Cheng 5
Norman Badler 5
Jianyuan Min 5
Brian Guenter 5
Amit Agrawal 5
Aleksey Golovinskiy 5
Martin Fuchs 5
Libin Liu 5
Christoph Bregler 5
Hao Su 5
Gabriel Taubin 5
James Gregson 5
Niloy Mitra 5
Min Tang 5
Ashish Myles 5
Ralph Martin 5
Andrew Jones 5
Sebastian Thrun 5
Ulf Assarsson 5
Jianmin Zheng 5
Zhigang Deng 5
Desai Chen 5
Yiying Tong 5
Martin Banks 5
Abe Davis 5
Charles Zitnick 5
Ares Lagae 5
Ramesh Raskar 5
Lvdi Wang 5
Chenfanfu Jiang 4
Gabriel Peyré 4
Kenshi Takayama 4
Xiaoming Fu 4
Bochang Moon 4
Marios Papas 4
Noa Fish 4
Levi Valgaerts 4
Adrian Jarabo 4
Ronen Basri 4
Li Xu 4
Xueting Liu 4
Manfred Lau 4
Binhhuy Le 4
Ashok Veeraraghavan 4
Antonio Criminisi 4
Benedict Brown 4
Dan Olsen 4
Dmitry Sokolov 4
Rodolfo Lima 4
Gilles Daviet 4
Sungyong Shin 4
Weiwen Feng 4
Holger Theisel 4
Johannes Hanika 4
Yeongho Seol 4
Neil Dodgson 4
Uri Ascher 4
Rémi Ronfard 4
Edilson De Aguiar 4
Zhili Chen 4
Shihao Wu 4
Neal Wadhwa 4
Ian McDowall 4
Jason Sewall 4
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Lin Lu 4
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