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Surface reconstruction from point clouds: A survey and a benchmark
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete
point cloud observation is a long-standing problem in computer vision and graphics …
point cloud observation is a long-standing problem in computer vision and graphics …
Neural fields in visual computing and beyond
Y **
Image war** aims to reshape images defined on rectangular grids into arbitrary shapes.
Recently, implicit neural functions have shown remarkable performances in representing …
Recently, implicit neural functions have shown remarkable performances in representing …
B-spline texture coefficients estimator for screen content image super-resolution
Screen content images (SCIs) include many informative components, eg, texts and graphics.
Such content creates sharp edges or homogeneous areas, making a pixel distribution of SCI …
Such content creates sharp edges or homogeneous areas, making a pixel distribution of SCI …
Pins: progressive implicit networks for multi-scale neural representations
Multi-layer perceptrons (MLP) have proven to be effective scene encoders when combined
with higher-dimensional projections of the input, commonly referred to as\textit {positional …
with higher-dimensional projections of the input, commonly referred to as\textit {positional …
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
In the realm of computer vision Neural Fields have gained prominence as a contemporary
tool harnessing neural networks for signal representation. Despite the remarkable progress …
tool harnessing neural networks for signal representation. Despite the remarkable progress …
Multi-scale hash encoding based neural geometry representation
Z Deng, H **ao, Y Lang, H Feng, J Zhang - Computational Visual Media, 2024 - Springer
Recently, neural implicit function-based representation has attracted more and more
attention, and has been widely used to represent surfaces using differentiable neural …
attention, and has been widely used to represent surfaces using differentiable neural …
Progressive Self-supervised Learning for CASSI Computational Spectral Cameras
Compressive spectral imaging (CSI) is a technique used to capture high-dimensional
hyperspectral images (HSIs) with a few multiplexed measurements, thereby reducing data …
hyperspectral images (HSIs) with a few multiplexed measurements, thereby reducing data …