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SUMMARY:CIS Seminar: "Neural Representation and Rendering of 3D Real-world Scenes"
DESCRIPTION:High-quality reconstruction and photo-realistic rendering of real-world scenes are two important tasks that have a wide range of applications in AR/VR\, movie production\, games\, and robotics. These tasks are challenging because real-world scenes contain complex phenomena\, such as occlusions\, motions and interactions. Approaching these tasks using classical computer graphics techniques is a highly difficult and time-consuming process\, which requires complicated capture procedures\, manual intervention\, and a sophisticated global illumination rendering process. In this talk\, I will introduce our recent work that integrates deep learning techniques into the classical graphics pipeline for modelling humans and static scenes in an automatic way. Specifically\, I will talk about creating photo-realistic animatable human characters from only RGB videos\, high-quality reconstruction and fast novel view synthesis of general static scenes from RGB image inputs\, and scene generation with a 3D generative model. Finally\, I will discuss challenges and opportunities in this area for future work.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-neural-representation-and-rendering-of-3d-real-world-scenes/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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