Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020

4 – 13 December 2020

#SIGGRAPHAsia | #SIGGRAPHAsia2020

Posters

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Date/Time: 04 – 13 December 2020
All presentations are available in the virtual platform on-demand.

Abstract: The paper presents a deep learning architecture to upsample vertices and it's associated features and a novel feature loss function designed for accommodating training of both vertex and associated features.

Author(s)/Presenter(s):
Shanthika Naik, KLE Technological University, India
Uma Mudenagudi, KLE Technological University, India
Ramesh Tabib, KLE Technological University, India
Adarsh Jamadandi, KLE Technological University, India

 

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