Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020
4 – 13 December 2020
Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020
4 – 13 December 2020
#SIGGRAPHAsia | #SIGGRAPHAsia2020
#SIGGRAPHAsia | #SIGGRAPHAsia2020
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