中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
计算技术研究所 [3]
自动化研究所 [2]
长春光学精密机械与物... [1]
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OAI收割 [6]
内容类型
期刊论文 [5]
会议论文 [1]
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2024 [2]
2023 [1]
2019 [1]
2015 [1]
2010 [1]
学科主题
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Recent advances in 3D Gaussian splatting
期刊论文
OAI收割
COMPUTATIONAL VISUAL MEDIA, 2024, 页码: 30
作者:
Wu, Tong
;
Yuan, Yu-Jie
;
Zhang, Ling-Xiao
;
Yang, Jie
;
Cao, Yan-Pei
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/12/06
3D Gaussian splatting (3DGS)
radiance field
novel view synthesis
3D editing
scene generation
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning
期刊论文
OAI收割
ACM TRANSACTIONS ON GRAPHICS, 2024, 卷号: 43, 期号: 2, 页码: 17
作者:
Sun, Jia-Mu
;
Yang, Jie
;
Mo, Kaichun
;
Lai, Yu-Kun
;
Guibas, Leonidas
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/06
Scene optimization
scene synthesis
human aware
reinforcement learning
Monte Carlo search
robot simulation
imitation learning
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8902-8919
作者:
Gao, Lin
;
Sun, Jia-Mu
;
Mo, Kaichun
;
Lai, Yu-Kun
;
Guibas, Leonidas J.
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/12/04
3Dindoor scene synthesis
deep generative model
fine-grained mesh generation
graph neural network
recursive neural network
relationship graphs
variational autoencoder
Complete Scene Reconstruction by Merging Images and Laser Scans
期刊论文
OAI收割
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: x, 期号: x, 页码: 1-13
作者:
Xiang Gao
;
Shuhan Shen
;
Lingjie Zhu
;
Tianxin Shi
;
Zhiheng Wang
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2019/10/07
Complete Scene Reconstruction
Image And Laser Scan Merging
Laser Scanning Location Planning
Image Synthesis And Matching
Wall grid structure for interior scene synthesis
期刊论文
OAI收割
Computers & Graphics, 2015, 卷号: 46, 期号: 1, 页码: 231~243
作者:
Xu, Wenzhuo
;
Wang, Bin
;
Yan, Dong-Ming
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2017/02/25
Scene Synthesis
Research on automatic multispectral images synthesis of space camera (EI CONFERENCE)
会议论文
OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者:
Liu J.-G.
;
Wu X.-X.
;
Kong D.-Z.
;
Zhou H.-D.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
Multilinear CCD Sensor was often used on space cameras to obtain multispectral images with each line representing different band channels. However images of different band channels obtained at the same time didn't coincide as there were spaces between lines. Pixel numbers to be adjusted between images of different channels varied when the space camera worked by swaying forward and backward or adjusted row transfer period to compensate image movement. An automatic multispectral images synthesis algorithm of space camera was put forward on the basis of analysis of such phenomenon. In this algorithm a new evaluation function was used to determine pixel numbers to be adjusted and the image regions of each band channel to be clipped. In this way images of different band channels could be synthesized automatically to obtain an accurate colorful image. This algorithm can be used to dispose a large mount of images from space camera directly without any manual disposal so that efficiency could be improved remarkably. In validation experiments the automatic multispectral images synthesis algorithm was applied in synthesis of images obtained from outside scene experiment of a multispectral space camera. Result of validation experiments proved that the automatic multispectral images synthesis algorithm can realize accurate multispectral images synthesis of space camera and the efficiency can be improved markedly. 2010 SPIE.