From Classroom to Victory: Meet the SIGGRAPH 2023 Student Research Competition Winners
Theses researchers are the future of computer graphics, and they are making their mark! Get to know the winners of the SIGGRAPH 2023 Student Research Competition.
Trust Fall: Investing in a Future of AI
Discover how artificial intelligence could enhance the thought processes of humans who work and the mental barriers humans must take to fully trust AI.
SIGGRAPH 2023 Technical Papers Awards: Best Papers, Honorable Mentions, and Test-of-Time
Celebrate the Technical Papers award winners, honorable mentions, and Test-of-Time recipients to get a taste of what to expect at SIGGRAPH 2023.
Poetry or Painting? Where Visual Art Speaks to You
Wander through famous Chinese paintings while experiencing the aesthetics of poetry and painting with this new Art Papers research.
Tracing the Roots of Computer Graphics: A Conversation With Jacob Gaboury
Author and media historian Jacob Gaboury discusses his latest book on the history of computer graphics.
Learn, Experiment, and Interact With Labs
SIGGRAPH 2023 Labs Chair Courtney Starrett shares an inside look at what we’re seeking in this year’s Labs submissions.
SIGGRAPH Spotlight: Episode 61 – Roving Reporter Rewind: A Conversation With Aaron Hertzmann and Rebecca Strzelec
Whether you caught it on the livestream or hearing it for the first time, revisit this special re-airing of a SIGGRAPH 2022 Roving Reporter interview featuring Aaron Hertzmann and Rebecca Strzelec.
Closing the Gap in Neural Implicit Representations With ‘Spelunking the Deep’
A recipient of a SIGGRAPH 2022 Technical Papers Best Paper Award, “Spelunking the Deep” Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis” introduces a new technique to work with neural implicit shape representations.
GPUs Change the Engineering Simulation Landscape
Jon Peddie Research (JPR) has been conducting a series of interviews with leading CAE software vendors.
This New Data Research Method Has Us ‘Animated’
Sebastian Starke takes a deep dive into “DeepPhase: Periodic Autoencoders for Learning Motion Phase Manifolds,” a SIGGRAPH 2022 Technical Papers Best Paper awardee.