Accurate metric depth can help achieve more realistic user interactions such as object
placement and occlusion detection in mobile augmented reality (AR). However, it can be …

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 …

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 …

Metric depth estimation plays an important role in mobile augmented reality (AR). With
accurate metric depth, we can achieve more realistic user interactions such as object …

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 …

Sensing in low-light and dark environments has a wide range of applications. However,
existing sensing technologies suffer several major challenges, such as excessive noise and …

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 …

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 …

Accurate and consistent depth maps are essential for numerous applications across
domains such as robotics, Augmented Reality and others. High-quality depth maps that are …