TY - GEN
T1 - Partial plane sweep volume for deep learning based view synthesis
AU - Takeuchi, Kouta
AU - Okami, Kazuki
AU - Ochi, Daisuke
AU - Kimata, Hideaki
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/7/30
Y1 - 2017/7/30
N2 - We propose a partial plane sweep volume that can be a more suitable input format for deep-learning-based view synthesis approaches. Our approach makes it possible to synthesize higher quality images with a smaller number of learning iterations, while keeping the number of depth planes.
AB - We propose a partial plane sweep volume that can be a more suitable input format for deep-learning-based view synthesis approaches. Our approach makes it possible to synthesize higher quality images with a smaller number of learning iterations, while keeping the number of depth planes.
KW - Novel view synthesis
KW - Plane sweep volume
UR - http://www.scopus.com/inward/record.url?scp=85028609042&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028609042&partnerID=8YFLogxK
U2 - 10.1145/3102163.3102220
DO - 10.1145/3102163.3102220
M3 - Conference contribution
AN - SCOPUS:85028609042
T3 - ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017
BT - ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017
PB - Association for Computing Machinery, Inc
T2 - 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017
Y2 - 30 July 2017 through 3 August 2017
ER -