Posters at SIGGRAPH 2014. Image by John M. Fujii, Copyright © ACM SIGGRAPH.
There are dozens of ways to showcase your knowledge, talent and technical skill at SIGGRAPH 2015. The call for submissions is now open, with technical papers due by January 19 -- so don't delay!
Copyright © 2014 Bugbear Entertainment Ltd
The realistic visualization of destruction -- of epic proportions -- is the cornerstone of the high-speed racing game, "Next Car Game." ACM SIGGRAPH writer Cody Welsh takes a closer look at the engine behind the game's stunning graphics.
"Deep Dance" by Marco Erbrich, part of the SIGGRAPH Asia Computer Animation Festival. Image Copyright © 2014 Filmakademie Baden-Württemberg.
SIGGRAPH Asia, Asia's largest and most respected conference on computer graphics, starts on December 3. Online registration is now closed, but on-site registration is available to all attendees.
Image Copyright © 2014 Warner Bros. Entertainment Inc.
SIGGRAPH Asia attendees will have the opportunity to catch a special screening of the animated film "Mortadelo & Filemon" as part of the conference's Computer Animation Festival.
Photo: Sonja Langford via unsplash.com
Submissions for the ACM SIGGRAPH Digital Video Art Show "Enhanced Vision - Digital Video" are due by December 10, 2014. Approximately 30 video art works will be selected for online exhibition on the ACM SIGGRAPH website, which receives about 40,000 visitors a month.
Listing of ACM SIGGRAPH conferences, affiliated or co-sponsored events, and chapter events.
A Gathering for London Animation Folks
London, United Kingdom
Ireland's First VFX and Animation Summit
13th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry
Digital Library Selections
ACM SIGGRAPH members enjoy unlimited access to the SIGGRAPH portion of the Digital Library.
Pixie dust: graphics generated by levitated and animated objects in computational acoustic-potential field
This emerging technology from SIGGRAPH 2014 demonstrates real-world-oriented computer graphics by using and expanding 3D acoustic manipulation.
This paper from UIST '13 presents a novel acoustic touch sensing technique that recognizes a rich context of touches.
This paper from SIGGRAPH 2014 presents a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera.
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