|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM375004629 |
| 003 |
DE-627 |
| 005 |
20240717233359.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
240717s2024 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TVCG.2024.3429416
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1473.xml
|
| 035 |
|
|
|a (DE-627)NLM375004629
|
| 035 |
|
|
|a (NLM)39012750
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Shi, Xuehuai
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Scene-aware Foveated Neural Radiance Fields
|
| 264 |
|
1 |
|c 2024
|
| 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 Revised 17.07.2024
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status Publisher
|
| 520 |
|
|
|a Foveated rendering provides an idea for improving the image synthesis performance of neural radiance fields (NeRF) methods. In this paper, we propose a scene-aware foveated neural radiance fields method to synthesize high-quality foveated images in complex VR scenes at high frame rates. Firstly, we construct a multi-ellipsoidal neural representation to enhance the neural radiance field's representation capability in salient regions of complex VR scenes based on the scene content. Then, we introduce a uniform sampling based foveated neural radiance field framework to improve the foveated image synthesis performance with one-pass color inference, and improve the synthesis quality by leveraging the foveated scene-aware objective function. Our method synthesizes high-quality binocular foveated images at the average frame rate of 66 frames per second (FPS) in complex scenes with high occlusion, intricate textures, and sophisticated geometries. Compared with the state-of-the-art foveated NeRF method, our method achieves significantly higher synthesis quality in both the foveal and peripheral regions with 1.41-1.46× speedup. We also conduct a user study to prove that the perceived quality of our method has a high visual similarity with the ground truth
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Wang, Lili
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Liu, Xinda
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wu, Jian
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Shao, Zhiwen
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g PP(2024) vom: 16. Juli
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
|
| 773 |
1 |
8 |
|g volume:PP
|g year:2024
|g day:16
|g month:07
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TVCG.2024.3429416
|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 PP
|j 2024
|b 16
|c 07
|