Batch Normalization Alleviates the Spectral Bias in Coordinate Networks
Z Cai, H Zhu, Q Shen, X Wang… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Representing signals using coordinate networks dominates the area of inverse problems
recently and is widely applied in various scientific computing tasks. Still there exists an issue …
recently and is widely applied in various scientific computing tasks. Still there exists an issue …
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Abstract Implicit Neural Representation (INR) has become a popular method for
representing visual signals (eg., 2D images and 3D scenes), demonstrating promising …
representing visual signals (eg., 2D images and 3D scenes), demonstrating promising …
Physically Plausible Color Correction for Neural Radiance Fields
Abstract Neural Radiance Fields have become the representation of choice for many 3D
computer vision and computer graphics applications, eg., novel view synthesis and 3D …
computer vision and computer graphics applications, eg., novel view synthesis and 3D …
CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes
Aims Accurate heart function estimation is vital for detecting and monitoring cardiovascular
diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it …
diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it …
Predicting the Encoding Error of SIRENs
J Vonderfecht, F Liu - arXiv preprint arXiv:2410.21645, 2024 - arxiv.org
Implicit Neural Representations (INRs), which encode signals such as images, videos, and
3D shapes in the weights of neural networks, are becoming increasingly popular. Among …
3D shapes in the weights of neural networks, are becoming increasingly popular. Among …
Continuous 3D Myocardial Motion Tracking via Echocardiography
Myocardial motion tracking stands as an essential clinical tool in the prevention and
detection of cardiovascular diseases (CVDs), the foremost cause of death globally …
detection of cardiovascular diseases (CVDs), the foremost cause of death globally …
PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction
Light field microscopy (LFM) has been widely utilized in various fields for its capability to
efficiently capture high-resolution 3D scenes. Despite the rapid advancements in neural …
efficiently capture high-resolution 3D scenes. Despite the rapid advancements in neural …
FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representation
Implicit Neural Representation (INR), which utilizes a neural network to map coordinate
inputs to corresponding attributes, is causing a revolution in the field of signal processing …
inputs to corresponding attributes, is causing a revolution in the field of signal processing …
Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks
Z Cai, H Zhu, Q Shen, X Wang, X Cao - arXiv preprint arXiv:2407.17834, 2024 - arxiv.org
Representing signals using coordinate networks dominates the area of inverse problems
recently, and is widely applied in various scientific computing tasks. Still, there exists an …
recently, and is widely applied in various scientific computing tasks. Still, there exists an …