Mixed reality (MR) devices capture 3D spatial maps of users' surroundings to integrate
virtual content into their physical environment. Existing permission models implemented in …

Inference carried out on pretrained deep neural networks (DNNs) is particularly effective as
it does not require retraining and entails no loss in accuracy. Unfortunately, resource …

An accurate understanding of omnidirectional environment lighting is crucial for high-quality
virtual object rendering in mobile augmented reality (AR). In particular, to support reflective …

Augmented Reality (AR) devices are set apart from other mobile devices by the immersive
experience they offer. While the powerful suite of sensors on modern AR devices is …

Diminished reality (DR) refers to the removal of real objects from the environment by virtually
replacing them with their background. Modern DR frameworks use inpainting to hallucinate …

3D Gaussians have recently emerged as an efficient representation for novel view synthesis.
This work studies its editability with a particular focus on the inpainting task, which aims to …

Next-generation augmented reality (AR) promises a high degree of context-awareness-a
detailed knowledge of the environmental, user, social and system conditions in which an AR …

In various fields, such as robotics navigation, autonomous driving, and augmented reality,
the demand for the reconstructing of three-dimensional (3D) scenes from two-dimensional …

To understand how well a proposed augmented reality (AR) solution works, existing papers
often conducted tailored and isolated evaluations for specific AR tasks, eg, depth or lighting …

3D object detection (OD) is a crucial element in scene understanding. However, most
existing 3D OD models have been tailored to work with light detection and ranging (LiDAR) …