Multi-View Learning with Context-Guided Receptance for Image Denoising Multi-View Learning with Context-Guided Receptance for Image Denoising Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, ...

Learning-based Multi-View Stereo (MVS) methods, typically reliant on cascaded cost volume formulations, perform well on small-scale scenes. However, as the depth range of captured images becomes ...

Light-field 3D display by super-multiviews is considered as a practical strategy to realize true 3D displays with enhanced depth cues. However, the limited space-bandwidth products pose challenges in ...

To address this, we propose DeepMVD, a novel deep learning model that enhances prediction accuracy by dynamically fusing multiview features. DeepMVD employs specialized modules to extract unique ...

4 Proposed model of ASD multi-view united transformer block In this section, we introduce the ASD Multi-View United Transformer Block (ASD-MVUTB), a new model for detecting Autism Spectrum Disorder ...

“With the new Multiview solution, MediaKind is taking live event viewing to the next level,” MediaKind Senior Vice President of Engineering Cory Zachman said.

MVGS can be easily embeded into existing Gaussian-based explict representation methods for better novel view synthesis results. We transform a traditional training paradigm only constrained by a ...