DC Field | Value | Language |
---|---|---|
dc.contributor.author | LEE, YEONKYEONG | - |
dc.contributor.author | CHOI, TAEHO | - |
dc.contributor.author | GO, HYUNSUNG | - |
dc.contributor.author | LEE, HYUNJOON | - |
dc.contributor.author | CHO, SUNGHYUN | - |
dc.contributor.author | KIM, JUNHO | - |
dc.date.accessioned | 2022-11-29T04:40:11Z | - |
dc.date.available | 2022-11-29T04:40:11Z | - |
dc.date.created | 2022-11-24 | - |
dc.date.issued | 2022-12-07 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/114430 | - |
dc.description.abstract | This paper introduces Exp-GAN, a 3D-aware facial image generator with explicit control of facial expressions. Unlike previous 3D-aware GANs, Exp-GAN supports fine-grained control over facial shapes and expressions disentangled from poses. To this ends, we propose a novel hybrid approach that adopts a 3D morphable model (3DMM) with neural textures for the facial region and a neural radiance field (NeRF) for non-facial regions with multi-view consistency. The 3DMM allows fine-grained control over facial expressions, whereas the NeRF contains volumetric features for the non-facial regions. The two features, generated separately, are combined seamlessly with our depth-based integration method that integrates the two complementary features through volume rendering. We also propose a training scheme that encourages generated images to reflect control over shapes and expressions faithfully. Experimental results show that the proposed approach successfully synthesizes realistic view-consistent face images with fine-grained controls. Code is available at https://github.com/kakaobrain/expgan. | - |
dc.language | English | - |
dc.publisher | Asian Federation of Computer Vision | - |
dc.relation.isPartOf | ACCV | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.title | Exp-GAN: 3D-Aware Facial Image Generation with Expression Control | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | ACCV, pp.151 - 167 | - |
dc.citation.conferenceDate | 2022-12-04 | - |
dc.citation.conferencePlace | CA | - |
dc.citation.conferencePlace | 마카오 | - |
dc.citation.endPage | 167 | - |
dc.citation.startPage | 151 | - |
dc.citation.title | ACCV | - |
dc.contributor.affiliatedAuthor | CHO, SUNGHYUN | - |
dc.identifier.scopusid | 2-s2.0-85151064831 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.