|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM31618361X |
| 003 |
DE-627 |
| 005 |
20231225160530.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231225s2022 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TVCG.2020.3030330
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1053.xml
|
| 035 |
|
|
|a (DE-627)NLM31618361X
|
| 035 |
|
|
|a (NLM)33048679
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Du, Dong
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a SAniHead
|b Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network
|
| 264 |
|
1 |
|c 2022
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 04.05.2022
|
| 500 |
|
|
|a Date Revised 27.06.2022
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a In the game and film industries, modeling 3D heads plays a very important role in designing characters. Although human head modeling has been researched for a long time, few works have focused on animal-like heads, which are of more diverse shapes and richer geometric details. In this article, we present SAniHead, an interactive system for creating animal-like heads with a mesh representation from dual-view sketches. Our core technical contribution is a view-surface collaborative mesh generative network. Initially, a graph convolutional neural network (GCNN) is trained to learn the deformation of a template mesh to fit the shape of sketches, giving rise to a coarse model. It is then projected into vertex maps where image-to-image translation networks are performed for detail inference. After back-projecting the inferred details onto the meshed surface, a new GCNN is trained for further detail refinement. The modules of view-based detail inference and surface-based detail refinement are conducted in an alternating cascaded fashion, collaboratively improving the model. A refinement sketching interface is also implemented to support direct mesh manipulation. Experimental results show the superiority of our approach and the usability of our interactive system. Our work also contributes a 3D animal head dataset with corresponding line drawings
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 700 |
1 |
|
|a Han, Xiaoguang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Fu, Hongbo
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wu, Feiyang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Yu, Yizhou
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Cui, Shuguang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Liu, Ligang
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 28(2022), 6 vom: 13. Juni, Seite 2415-2429
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
|
| 773 |
1 |
8 |
|g volume:28
|g year:2022
|g number:6
|g day:13
|g month:06
|g pages:2415-2429
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TVCG.2020.3030330
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 28
|j 2022
|e 6
|b 13
|c 06
|h 2415-2429
|