Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucination

Full metadata record
DC Field Value Language
dc.contributor.author조정찬-
dc.date.accessioned2022-06-04T15:40:04Z-
dc.date.available2022-06-04T15:40:04Z-
dc.date.issued2022-02-25-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84528-
dc.titleTexture Generation Using Dual-Domain Feature Flow with Multi-View Hallucination-
dc.typeConference-
dc.citation.conferenceNamethe AAAI Conference on Artificial Intelligence (AAAI)-
dc.citation.conferencePlace이스라엘-
dc.citation.conferencePlaceVirtual-
dc.citation.titlein Proc. of the AAAI Conference on Artificial Intelligence (AAAI)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 소프트웨어학과 > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Jung Chan photo

Cho, Jung Chan
College of IT Convergence (Department of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE