•   When: Friday, March 23, 2018 from 10:00 AM to 11:00 AM
•   Speakers: Ling-Qi Yan
•   Location: Research Hall 163
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Abstract:

Photorealistic Rendering in Computer Graphics is increasingly important. Whether in movies or video games, breathtaking graphics have become one of the most crucial factors to their success. However, state of the art rendering still struggles with two fundamental challenges -- realism and speed. It looks artificial and overly perfect, and is slow for both offline and interactive applications.

In this talk, I will first introduce my research on physically-based modeling and rendering of visual appearance at real world complexity, which not only brings next generation details to rendered images, but also greatly improves their realism. Specifically, I will talk about 1) rendering glints from complex surfaces, such as metallic flakes and scratches, to match the appearance of the imperfect real world and 2) modeling animal fur from inside every fur fiber to achieve the overall furry and realistic appearance of animals. After that, I will briefly introduce a sample-and-reconstruct approach to make accurate rendering of complex effects real-time, by exploring Fourier analysis on light transport and designing practical filtering algorithms on severely undersampled noisy renderings.


Bio:

Ling-Qi Yan is a fifth year Ph.D. candidate in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. His research is in Computer Graphics, mainly aimed at rendering photo-realistic visual appearance at real world complexity, building theoretical foundations mathematically and physically to reveal the principles of the visual world. Ling-Qi's research interests include appearance modeling, real-time ray tracing, sampling and reconstruction theory, volumetric scattering and light transport algorithms.