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Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields
Bo Yu Cheng,
Wei Chen Chiu
,
Yu Lun Liu
多媒體工程研究所
資訊科學與工程研究所
資訊工程學系
研究成果
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3
引文 斯高帕斯(Scopus)
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Keyphrases
Joint Optimization
100%
Low-rank
100%
Tensorial
100%
Camera Pose
100%
Radiance Fields
100%
Low-rank Tensor
100%
Training Sequence
50%
Superior Performance
50%
Source Code
50%
Frequency Spectrum
50%
Gaussian Filter
50%
Suboptimal Solutions
50%
Convolutional
50%
Kernel Parameter
50%
Quantitative Evaluation
50%
Qualitative Evaluation
50%
2D Image
50%
Edge-based
50%
Brute Force
50%
Voxel-based
50%
3D Convolution
50%
Equivalent Effect
50%
Rapid Convergence
50%
Decomposition Property
50%
Novel View Synthesis
50%
Computation Overhead
50%
Neural Radiance Field (NeRF)
50%
Pose Optimization
50%
Joint Refinement
50%
Scene Geometry
50%
Camera Pose Optimization
50%
3D Scenarios
50%
1D Signal
50%
Coarse-to-fine Learning
50%
Computer Science
Superior Performance
100%
Kernel Parameter
100%
Gaussian Filter
100%
Frequency Spectrum
100%
Rapid Convergence
100%
Engineering
Joints (Structural Components)
100%
Rank Tensor
40%
Frequency Spectrum
20%
Gaussian Filter
20%