SIGGRAPH 2014 Releases Technical Papers Data & Statistics

Computational Design of Linkage-Based Characters

This year, the Technical Papers program received a total of 505 completed submissions! After committee review, 127 of them have been accepted, accounting for a 25% acceptance rate. In addition, 46 papers, published in ACM Transactions on Graphics during the course of the last year, will be presented at SIGGRAPH 2014.

Adam Finkelstein

“As is SIGGRAPH tradition, the quality of this year’s Technical Papers content was superb,” said Adam Finkelstein, Technical Papers Chair from Princeton University. “Not only did we receive outstanding work in the traditional areas of modeling, rendering, animation, and imaging, but we also noticed two emerging fields in design/fabrication and learning.”  

For a sneak peek at what's to come, see below.

Design and Fabrication

• Computational Design of Linkage-Based Characters

Authors: Bernhard Thomaszewski, Stelian Coros, Disney Research Zürich; Eitan Grinspun, Columbia University; Vittorio Megaro, ETH Zürich; Markus Gross, Disney Research Zürich, ETH Zürich; Damien Gauge, ETH Zürich

This paper presents a design system for linkage-based mechanical characters. The system allows users to interactively browse different design options, while a continuous optimization step improves motion quality and safeguards against singularities.

• Interactive Design and Optimization of Free-Formed Free-Flight Model Airplanes

Authors: Nobuyuki Umetani, The University of Tokyo, Autodesk Research; Yuki Koyama, The University of Tokyo; Ryan Schdmit, Autodesk Research; Takeo Igarashi, The University of Tokyo

This paper introduces novel interactive techniques for designing original hand-launched free-flight glider airplanes that can actually fly. Based on a compact aerodynamics model, a user-designed wing configuration is interactively optimized to maximize flight-worthiness.

Learning

• Self-Refining Games Using Player Analytics

Authors: Matt Stanton, Ben Humberston, Brandon Kase, Carnegie Mellon University; James O'Brien, University of California, Berkeley; Kayvon Fatahalian, Adrien Treuille, Carnegie Mellon University

Data-driven simulation demands good training data. In games, users explore a small subset of the configuration space. In this paper, a precomputed fluid dynamics game uses crowd sourcing to learn user behavior models that predict the most frequently encountered configurations. Precomputation is concentrated around these states, reducing model error and visual artifacts. 

• Learning Bicycle Stunts

Authors: Jie Tan, Yuting Gu, Karen Liu, and Greg Turk, Georgia Institute of Technology

This paper presents a general approach to simulate and control a human character riding a bicycle. The rider not only learns to steer and balance in normal riding situations, but also learns to perform a wide variety of stunts, including wheelie, endo, bunny hop, front wheel pivot, and back hop.

Take Note: You definitely won't want to miss the paper presentations at SIGGRAPH 2014. Occurring from Monday through Thursday, 10-14 August, the 35 paper sessions will highlight a total of 173 technical papers.