Geomvsnet: Learning multi-view stereo with geometry perception
Abstract Recent cascade Multi-View Stereo (MVS) methods can efficiently estimate high-
resolution depth maps through narrowing hypothesis ranges. However, previous methods …
resolution depth maps through narrowing hypothesis ranges. However, previous methods …
Predictive coding based multiscale network with encoder-decoder LSTM for video prediction
We present a multi-scale predictive coding model for future video frames prediction. Drawing
inspiration on the``Predictive Coding" theories in cognitive science, it is updated by a …
inspiration on the``Predictive Coding" theories in cognitive science, it is updated by a …
Generating high-quality phase-only holograms of binary images using global loss and stochastic homogenization training strategy
Deep learning presents a highly effective for computer-generated holography (CGH).
However, existing learning-based CGH algorithms may encounter significant obstacles in …
However, existing learning-based CGH algorithms may encounter significant obstacles in …
Understanding the dynamics of the frequency bias in neural networks
Recent works have shown that traditional Neural Network (NN) architectures display a
marked frequency bias in the learning process. Namely, the NN first learns the low …
marked frequency bias in the learning process. Namely, the NN first learns the low …
On Understanding And Overcoming Spectral Biases of Deep Neural Network Learning Methods for Solving Pdes
ZQJ Xu, L Zhang, W Cai - Available at SSRN 4957855 - papers.ssrn.com
In this review, we survey the latest approaches and techniques developed to overcome the
spectral bias towards low frequency of deep neural network learning methods in learning …
spectral bias towards low frequency of deep neural network learning methods in learning …