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SIGGRAPH Technical Papers Present Innovations From 38 Countries

Chosen research projects showcase significant advances by worldwide scholars.

CHICAGO -- SIGGRAPH 2018, the world’s leading annual interdisciplinary educational event showcasing the latest in computer graphics and interactive techniques, will present 128 cutting-edge technical papers culled from 38 countries around the world, showcasing significant, scholarly new work.

The 45th SIGGRAPH conference will take place Aug. 12–16 at the Vancouver Convention Centre. To register for the conference, visit s2018.SIGGRAPH.org.

SIGGRAPH 2018 technical papers were chosen through a rigorous peer-review process by a prestigious international jury of scholars and scientists. Each chosen paper adheres to the highest scientific standards and will be published in a special issue of ACM Transactions on Graphics. In addition to papers selected by the conference jury, select papers that have been published in ACM Transactions on Graphics during the past year also will be showcased in Vancouver.

Highlights of this year’s Technical Papers program include:

  • Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation [Israel, U.S.]. Authors: Ariel Ephrat, Google Inc., Hebrew University of Jerusalem; Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, and Michael Rubinstein, Google Inc.; and, William Freeman, Google Inc., Massachusetts Institute of Technology (MIT). A trained, machine-learning model is presented, utilizing both the visual and auditory signals of an input video to separate the speech of different speakers in the video. (link)
  • Mode-Adaptive Neural Networks for Quadruped Motion Control.

    Mode-Adaptive Neural Networks for Quadruped Motion Control [United Kingdom, U.S.]. Authors: He Zhang, Sebastian Starke, and Taku Komura, University of Edinburgh; and, Jun Saito, Adobe Research. This paper proposes a data-driven approach for animating quadruped motion. The novel architecture, called Mode-Adaptive Neural Networks, can learn a wide range of locomotion modes and non-cyclic actions. (link)

  • Skaterbots: Optimization-based Design and Motion Synthesis for Robotic Creatures with Legs and Wheels [Switzerland, U.S., Canada]. Authors: Moritz Geilinger, Roi Poranne, and Stelian Coros, ETH Zurich, Department of Computer Science; Ruta Desai, Carnegie Mellon University; and, Bernhard Thomaszewski, Université de Montréal. “Skaterbots” researchers propose a computation-driven approach to design optimization and motion synthesis for robotic creatures that locomote using arbitrary arrangements of legs and wheels. (link)
  • DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

    DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills [U.S., Canada]. Authors: Xue Bin Peng, Pieter Abbeel, and Sergey Levine, University of California, Berkeley; and, Michiel van de Panne, University of British Columbia. This paper presents a deep reinforcement learning framework that enables simulated characters to imitate a rich repertoire of highly dynamic and acrobatic skills from reference motion clips. (link)

  • Automatic Machine Knitting of 3D Meshes [U.S., Switzerland]. Authors: Vidya Narayanan, Lea Albaugh, Jessica Hodgins, and James McCann, Carnegie Mellon University; and, Stelian Coros, ETH Zurich, Carnegie Mellon University. “Automatic” researchers present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting machine. (link)
  • Instant 3D Photography.

    Instant 3D Photography [United Kingdom, U.S.]. Authors: Peter Hedman, University College London; Johannes Kopf, Facebook. In less than 60 seconds, the authors turn color-and-depth images from a dual-lens camera phone into a highly detailed 3D panorama, which can be viewed with head motion parallax in VR. (link)

  • Deep Video Portraits [Germany, France, United Kingdom, U.S.]. Authors: Hyeongwoo Kim, Ayush Tewari, Weipeng Xu, and Christian Theobalt, Max Planck Institute for Informatics; Pablo Garrido and Patrick Perez, Technicolor; Justus Thies and Matthias Niessner, Technical University of Munich; Christian Richardt, University of Bath; and, Michael Zollhöfer, Stanford University. Our novel deep video portrait approach enables full control over a target actor by transferring head pose, facial expressions, and eye motion with a high level of photorealism. (link)

The Technical Papers program also offers a unique opportunity to hear from all authors in a fast-paced, 2-hour window, during the Technical Papers Fast Forward event. This eagerly awaited Sunday evening session offers an entertaining, illuminating summary in which authors are allowed 30-seconds each to “wow” the crowd with their results and entice attendees to hear their complete paper presentations throughout the conference week.

For more information about research at SIGGRAPH, listen to this podcast with Pixar’s Ed Catmull and Tony DeRose or watch the 2018 Technical Papers preview trailer. The Technical Papers program is open to Full Conference and Full Conference Platinum attendees only.

Source: SIGGRAPH

Thomas J. McLean's picture

Tom McLean has been writing for years about animation from a secret base in Los Angeles.

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