# Paul Debevec
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Paul Ernest Debevec is a researcher in computer graphics at the University of Southern California's Institute for Creative Technologies. He is best known for his work in finding, capturing and synthesizing the bidirectional scattering distribution function utilizing the light stages his research team constructed to find and capture the reflectance field over the human face, high dynamic range imaging and image-based modeling and rendering.
Debevec received his undergraduate degree in mathematics and engineering from the University of Michigan, and a Ph.D. in computer science from University of California, Berkeley in 1996; his thesis research was in photogrammetry, or the recovery of the 3D shape of an object from a collection of still photographs taken from various angles.
Episode 526 - Hoon Kim of Beeble AI: How Switchlight Creates 'Relightable Footage' for Real-Time Filmmaking
AI is revolutionizing cinematic lighting control with Beeble AI's Switchlight. Founder Hoon Kim explains how his tool, originally a general AI concept, became a powerful VFX asset by tackling the difficult process of relighting. Switchlight "unlights" any video footage to figure out the fundamental…
Episode 247 - Greg Downing - Hyperacuity
After dabbling with acting and music, Greg Downing found his true calling in all things photography related — and the world is a better place for it. His passion for the medium took him from home experiments with plaster casts and turntables to create panoramas of European landmarks to building a n…
Episode 235 - Craig Xray Halperin - Insomniac Games
Craig "Xray" Halperin has worked on everything. His career began at the tender age of 13 when he contributed graphics to the TV show The Fall Guy, and as he grew up he became accustomed to projection mapping, motion graphics and non-linear video editing techniques. His big break in VFX came courtes…
Episode 233 - Paul Debevec, Scott Eaton, and Ian Spriggs
This year's Total Chaos conference brought together three of the biggest names in the art and science of CG: 3D portrait artist Ian Spriggs, lighting pioneer turned light field specialist Paul Debevec, and anatomy expert and AI exploratory artist Scott Eaton. Each presented compelling talks on the …
Episode 199 - Technology vs. Creativity: Digital Humans - THU 2018
One of the best things about THU is having so many world-class experts in one place — something Chris took advantage of when he assembled this panel for a discussion on digital humans. The superstar lineup consisted of digital Rembrandt Ian Spriggs, CG pioneer Paul Debevec, ILM's chief re-animator …
Paul Debevec
Paul Debevec's contributions to the CG field are well known. As the Chief Visual Officer at University of Southern California's Institute of Creative Technology, he has broken ground with technology in many different ways for over 18 years. He may in fact be the godfather of Image Based Lighting, a…
Jay and Graham from ICT
It will be very clear that Graham and I are good friend, and that Jay and I have known each other for a while. Both Graham and Jay are from the Institute of Creative Technology, and have worked on facial scanning technology for a long time under Paul Debevec. They are both members of the Digital Hu…
Paul Debevec: Alum wins Emmy
Everything changed for Paul Debevec (BSE CE ’92) in 1991 when, as a U-M undergrad, he created a computer-generated visualization of his Chevette. Inspired by the opening sequence of Back to the Future, Part 2, the model combined techniques from computer vision and computer graphics.
Original articl…
Let Artists Play | Fix It In Prompt Ep. 003
The models keep changing, but the production advantage still belongs to artists who know what breaks—and how to fix it.
This week on Fix It In Prompt, Alex Villabon and Doug Hogan catch up after a summer break and look at FLUX 3, MiniMax H3, the gap between closed APIs and local open-weight models…
Animating a photo-real digital face - Paul Debevec
Computer graphics trailblazer Paul Debevec explains the scene-stealing technology behind Digital Emily, a digitally constructed human face so realistic it stands up to multiple takes. (Filmed at TEDxUSC.)Talk by Paul Debevec.
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