Computer Science Speaking Skills

— 3:00pm

In Person - Traffic21 Classroom, Gates Hillman 6501

HAITHEM TURKI , Ph.D. Student, Computer Science Department, Carnegie Mellon University

Towards City-Scale Neural Reconstruction

Recent advances in neural rendering techniques have lead to significant progress towards photo-realistic novel view synthesis, with Neural Radiance Fields (NeRFs) in particular drawing significant attention and spawing a wide body of follow-up work. However, until recently, the vast majority of NeRF-based approaches explore single-object scenes captured indoors or from synthetic data, thus limiting their practical utility. In this talk, I will first discuss how we scale NeRFs to capture and visualize urban-scale environments from drone footage orders of magnitude larger than prior work. I will then discuss recent efforts to build dynamism and semantic knowledge into our model, culminating in the largest city-scale dynamic representation to date. Presented in Partial Fulfillment of the CSD Speaking Skills Requirement.

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