reconstruction
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NA VI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where Structure-from-Motion (SfM) techniques can provide ground-truth (GT) camera poses.
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Many-body Approximation for Non-negative Tensors
We present an alternative approach to decompose non-negative tensors, called many-body approximation .
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Bayesian Learning via Q-Exponential Process
Regularization is one of the most fundamental topics in optimization, statistics and machine learning.
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Learning Adaptive T Density Fields for Clean Reconstruction Supplementary
The ENL metric measures the smoothness in the homogeneous regions.