To this end, we introduce pose-driven avatars with explicit modeling of clothing that exhibit both photorealistic appearance learned from real-world data and realistic clothing...
This work thus presents Weighted Pointer interaction, a collection of error-aware pointing techniques that determine whether pointing should be performed by gaze, a fallback...
In this paper, we aim to solve the space-time aliasing problem by learning a spatio-temporal downsampler.
We present Pose-NDF, a continuous model for plausible human poses based on neural distance fields (NDFs). Pose or motion priors are important for generating realistic new poses...
We propose an architecture to create dense feature maps in novel views obtained by sphere-based neural rendering, and create complete renders using a global context inpainting model.
We propose a novel triple-path network for ad-hoc array processing in the time domain. The key idea in the network design is to divide the overall processing into spatial...
In addition to egocentric recordings made with AR glasses, extensive metadata, including the position and orientation of speakers, is provided. This paper describes the use...
In this paper, we propose an alternative method using Wearable-Device-Related Transfer Functions (WDRTFs) to extract higher-order ambisonics from the recordings of the head-device.
In this paper, we propose a sound field interpolation approach based on plane-wave expansion in the spherical harmonic domain.
This paper describes the development of a customizable questionnaire for measuring the subjective user experience that focuses on the quality of the interactions with objects...
