SIGGRAPH 2022 Technical Papers Awards: Best Papers and Honorable Mentions
Celebrate the Technical Papers award winners and honorable mentions to get a taste of what to expect during SIGGRAPH 2022.
Piecing Together the Puzzle Behind the Tulsa Race Massacre
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Graphics editors from The New York Times discuss the use of geo-spatial data analysis, 3D, and machine learning to recreate the neighborhood destroyed during the 1921 Tulsa Race Massacre.
Environmental Modeling Research With Sören Pirk
Longtime SIGGRAPH contributor and participant Sören Pirk, senior research scientist at Adobe, shares his conference stories and research interests, which include visual computing, machine learning, and environmental modeling.
SIGGRAPH Spotlight: Episode 52 – Emotions in VR
Niloy Mitra and Michael Gaebler discuss the effect of virtual reality on emotion as well as VR research trends on the horizon.
Our Top 10 Most-read Blogs of 2021
ACM SIGGRAPH Blog editors reflect on the year’s most-read stories. Thanks for another great year, readers!
The Search for Realism in Holographic Displays
SIGGRAPH sits down with Aaron Demolder, a research engineer and doctorate candidate, to discuss his first place-winning research on holographic displays.
How ChoreoMaster Combines Cutting-edge AI and Graphics Technologies
Dance into ChoreoMaster, the latest research project from NetEase Games AI Lab which offers a production-ready dance motion synthesis system.
‘TeraFoils’ Research Advances Design and Fabrication of Holograms
Discover the background and development of SIGGRAPH 2021 Posters research project “TeraFoils: Design and Rapid Fabrication Techniques for Binary Holographic Structures in the Terahertz Region.”
‘Bad Mother / Good Mother’: An Audiovisual Performance Exploring Motherhood and the Workplace
“Bad Mother / Good Mother” is an audiovisual performance about motherhood, the workplace, and invisible work.
Advancing Research in Adversarial Imitation Learning
Dive into the AI techniques this SIGGRAPH 2021 Technical Papers research team took to their adversarial imitation learning approach for animation.