• Technical Papers

    Fact Sheet

    Chair: C. Karen Liu, Stanford University, USA

     

    Program Schedule: Sunday, 17 NovemberWednesday, 20 November


    Fast Facts

    • The Technical Papers program received a total of 309 submissions, out of which 93 were accepted to SIGGRAPH Asia 2018, resulting in an acceptance rate of 30%.
    • The submitted articles represent the collective work of 1398 authors from 36 different countries, reviewed by the Technical Papers Committee (PC), which comprises of 45 experts from academia and industry.
    • As in previous years, all papers accepted to the SIGGRAPH Asia conference are included in a special issue of TOG. At the same time, 5 articles that were accepted to TOG will be presented alongside with the other papers in the Technical Papers Program.
    • At the conference, the accepted papers are presented in 21 sessions of four to five papers each, running in up to two parallel tracks, with 20 minutes for each presentation. The program opens with the Technical Papers Fast Forward session, a light-hearted evening event in which each paper is presented in just 30 seconds, to give attendees a glimpse into the talks that will be available over the following days.

    Quote from C. Karen Liu, SIGGRAPH Asia 2019 Technical Papers Chair:

     

    “This year's program was selected from the collective work of 1398 authors from 36 different countries! We received 309 submissions of very high quality, making the selection task a particularly difficult one.

     

    I am in awe of the depth and breadth of technological breakthrough in the SIGGRAPH Asia 2019 proceedings. This year’s program features papers that propel the field forward rapidly and vibrantly, while keeping us well-grounded academically, ensuring that SIGGRAPH Asia remains a breeding ground for significant new areas of research. In sync with the global phenomenon of machine learning and artificial intelligence proliferation, we continue to see an overwhelming number of papers in all subfields of graphics employed and contribute to AI science in general.

    SIGGRAPH Asia 2019 Technical Papers Program Highlights

    A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid

    Authors: Yun (Raymond) Fei, Columbia University, USA
    Christopher Batty, University of Waterloo, Canada
    Eitan Grinspun and Changxi Zheng, Columbia University, USA

    Description:        We propose a framework for simulating the complex dynamics of strands interacting with compressible, shear-dependent liquids, such as oil paint, mud, cream, melted chocolate, and pasta sauce.

     

    The Relightables: Volumetric Performance Capture of Humans with Realistic Relighting

    Authors: Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, Danhang Tang, Anastasia Tkach, Adarsh Kowdle, Emily Cooper, Mingsong Dou, Sean Fanello, Graham Fyffe, Christoph Rhemann, Jonathan Taylor, Paul Debevec, and Shahram Izadi, Google Inc.

    Description:        We present “The Relightables”, a volumetric capture system for photorealistic and high quality relightable full-body performance capture.

     

    A Differential Theory of Radiative Transfer

    Authors: Cheng Zhang, University of California, Irvine
    Lifan Wu, University of California, San Diego
    Changxi Zheng, Columbia University
    Ioannis Gkioulekas, Carnegie Mellon University

    Ravi Ramamoorthi, University of California, San Diego

    Shuang Zhao, University of California, Irvine

    Description:        We introduce a differential theory of radiative transfer, which shows how individual components of the radiative transfer equation can be differentiated with respect to arbitrary differentiable changes of a scene.

     

    Taichi: A Language for High-Performance Computation on Spatially Sparse Data Structures

    Authors: Yuanming Hu, MIT CSAIL
    Tzu-Mao Li, MIT CSAIL and UC Berkeley

    Luke Anderson, MIT CSAIL

    Jonathan Ragan-Kelley, UC Berkeley

    Frédo Durand, MIT CSAIL

    Description: We propose Taichi, a new data-oriented programming language for efficiently authoring, accessing, and maintaining 3D visual computing data structures.

     

     

    Full information about this year’s Technical Papers program can be found on https://sa2019.siggraph.org/attend/technical-papers  

     

    For more information about SIGGRAPH Asia 2019 program updates, please visit https://sa2019.siggraph.org/attend

     

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