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TMCNet:  SIGGRAPH 2017 Technical Papers to Feature Computer Science Discoveries in Fluid Simulation, Fabrication, Geometry Processing and More

[May 17, 2017]

SIGGRAPH 2017 Technical Papers to Feature Computer Science Discoveries in Fluid Simulation, Fabrication, Geometry Processing and More

SIGGRAPH 2017, the world's leading annual interdisciplinary educational experience showcasing the latest in computer graphics and interactive techniques, announces the acceptance of over 125 technical papers which will be presented during this year's conference. SIGGRAPH 2017 will mark the 44th International Conference and Exhibition on Computer Graphics and Interactive Techniques, and will be held 30 July-3 August 2017 in Los Angeles.

This Smart News Release features multimedia. View the full release here: http://www.businesswire.com/news/home/20170517005548/en/

"Inside Fluids: Clebsch Maps for Visualization and Processing" © 2017 California Institute of Techno ...

"Inside Fluids: Clebsch Maps for Visualization and Processing" © 2017 California Institute of Technology, Technische Universit�t Berlin (Photo: Business Wire)

Submissions to the Technical Papers program are received from around the world, and feature high-quality, never-before-seen scholarly work. Those who submit technical papers are held to extremely high standards in order to qualify. SIGGRAPH 2017 accepted 127 juried technical papers (out of 439 submissions) for this year's showcase, an acceptance rate of 28 percent. Forty papers from ACM Transactions on Graphics (TOG), the foremost peer-review journal in the graphics world, will also be presented. As per SIGGRAPH tradition, the papers were chosen by a highly qualified peer jury comprised of members from academia, alongside a number of field experts.

For more information on the Technical Papers program and this year's selections visit: s2017.SIGGRAPH.org/technical-papers. Or, watch the SIGGRAPH 2017 Technical Papers Preview Trailer on YouTube.

"Among the trends we noticed this year was that research in core topics, such as geometry processing or fluid simulation, continues while the field itself broadens and matures," SIGGRAPH 2017 Technical Papers Program Chair Marie-Paule Cani said. "The 14 accepted papers on fabrication now tackle the creation of animated objects as well as of static structures. Machine learning methods are being applied to perception and extended to many content synthesis applications. And topics such as sound processing and synthesis, along with computational cameras and displays, open novel and exciting new directions."

Of the juried papers, the percentage breakdown based on topic area is as follows: 30% modeling, 25% animation and simulation, 25% imaging, 10% rendering; 4% perception,�3% sound, and 3% computational cameras and displays.

Highlights of the SIGGRAPH 2017 Technical Papers program include:

Inside Fluids: Clebsch Maps fo Visualization and Processing

Authors: Albert Chern, California Institute of Technology; Felix Kn�ppel, Technische Universit�t Berlin; and, Ulrich Pinkall, Technische Universit�t Berlin

Clebsch maps encode vector fields, such as those coming from fluid simulations, in the form of a function that encapsulates information about the field in an easily accessible manner. For example, vortex lines and tubes can be found by iso-contouring. This paper provides an algorithm for finding such maps.

Multi-Species Simulation of Porous Sand and Water Mixtures

Authors: Andre Pradhana Tampubolon, University of California, Los Angeles; Theodore Gast, University of California, Los Angeles; Gergely Klar, DreamWorks Animation; Chuyuan Fu, University of California, Los Angeles; Joseph Teran, Walt Disney (News - Alert) Animation Studios, Disney Research, University of California, Los Angeles; Chenfanfu Jiang, University of California, Los Angeles; and, Ken Museth, DreamWorks Animation

This multi-species model for simulation of gravity-driven landslides and debris flows with porous sand and water interactions uses the material point method and mixture theory to describe individual phases coupled through a momentum exchange term.

Real-Time User-Guided Image Colorization with Learned Deep Priors

Authors: Richard Zhang, University of California, Berkeley; Jun-Yan Zhu, University of California, Berkeley; Phillip Isola, University of California, Berkeley; Xinyang Geng, University of California, Berkeley; Angela S. Lin, University of California, Berkeley; Yu Tianhe, University of California, Berkeley; and, Alexei A. Efros University of California, Berkeley

This paper proposes a deep learning approach for user-guided image colorization. The system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization. The CNN propagates user edits by fusing low-level cues with high-level semantic information learned from large-scale data.

Dip Transform for 3D Shape Reconstruction

Authors: Kfir Aberman, Tel Aviv University, Advanced Innovation Center for Future Visual Entertainment; Oren Katzir, Tel Aviv University, Advanced Innovation Center for Future Visual Entertainment; Qiang Zhou, Shandong University; Zegang Luo, Shandong University; Andrei Sharf, Advanced Innovation Center for Future Visual Entertainment, Ben-Gurion University of the Negev; Chen Greif, The University of British Columbia; Baoquan Chen, Shandong University; and, Daniel Cohen-Or, Tel-Aviv University

This paper presents a 3D acquisition and reconstruction method based on Archimedes submerged-volume equality. It employs fluid displacement as the shape sensor. The liquid has no line-of-sight. It penetrates cavities and hidden parts, as well as transparent and glossy materials, thus bypassing the visibility and optical limitations of scanning devices.

Dynamics-Aware (News - Alert) Numerical Coarsening for Fabrication Design

Authors: Desai Chen, Massachusetts Institute of Technology; David Levin, University of Toronto; Wojciech Matusik, Massachusetts Institute of Technology; and, Danny Kaufman, Adobe (News - Alert) Research

This paper presents a simulation-driven optimization framework that, for the first time, automates the design of highly dynamic mechanisms. The key contributions are a method for identifying fabricated material properties for efficient predictive simulation, a dynamics-aware coarsening technique for finite-element analysis and a material-aware impact response model.

Registration is now open for SIGGRAPH 2017. To view badge levels and pricing, visit the conference website. Early registration savings end 9 June 2017.

About SIGGRAPH 2017

The annual SIGGRAPH conference is a five-day interdisciplinary educational experience in the latest computer graphics and interactive techniques, including a three-day commercial exhibition that attracts hundreds of companies from around the world. The conference also hosts the international SIGGRAPH Computer Animation Festival, showcasing works from the world's most innovative and accomplished digital film and video creators. Juried and curated content includes outstanding achievements in time-based art, scientific visualization, visual effects, real-time graphics, and narrative shorts. SIGGRAPH 2017 will take place from 30 July-3 August 2017 in Los Angeles. Visit the SIGGRAPH 2017�website�or follow SIGGRAPH on�Facebook,�Twitter,�YouTube, or�Instagram�for more detailed information.

About ACM SIGGRAPH

The�ACM Special Interest Group on Computer Graphics and Interactive Techniques�is an interdisciplinary community interested in research, technology, and applications in computer graphics and interactive techniques. Members include researchers, developers, and users from the technical, academic, business, and art communities. ACM SIGGRAPH enriches the computer graphics and interactive techniques community year-round through its conferences, global network of professional and student chapters, publications, and educational activities.

About ACM

ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers, and professionals to inspire dialogue, share resources, and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for lifelong learning, career development, and professional networking.


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