HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets

Fuente: arXiv
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Main Authors: Jin, Yili, Duan, Xize, Wang, Fangxin, Liu, Xue
Format: Preprint
Published: 2024
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author Jin, Yili
Duan, Xize
Wang, Fangxin
Liu, Xue
author_facet Jin, Yili
Duan, Xize
Wang, Fangxin
Liu, Xue
contents Virtual Reality (VR) has become increasingly popular for remote collaboration, but video conferencing poses challenges when the user's face is covered by the headset. Existing solutions have limitations in terms of accessibility. In this paper, we propose HeadsetOff, a novel system that achieves photorealistic video conferencing on economical VR headsets by leveraging voice-driven face reconstruction. HeadsetOff consists of three main components: a multimodal predictor, a generator, and an adaptive controller. The predictor effectively predicts user future behavior based on different modalities. The generator employs voice, head motion, and eye blink to animate the human face. The adaptive controller dynamically selects the appropriate generator model based on the trade-off between video quality and delay. Experimental results demonstrate the effectiveness of HeadsetOff in achieving high-quality, low-latency video conferencing on economical VR headsets.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19988
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets
Jin, Yili
Duan, Xize
Wang, Fangxin
Liu, Xue
Multimedia
Virtual Reality (VR) has become increasingly popular for remote collaboration, but video conferencing poses challenges when the user's face is covered by the headset. Existing solutions have limitations in terms of accessibility. In this paper, we propose HeadsetOff, a novel system that achieves photorealistic video conferencing on economical VR headsets by leveraging voice-driven face reconstruction. HeadsetOff consists of three main components: a multimodal predictor, a generator, and an adaptive controller. The predictor effectively predicts user future behavior based on different modalities. The generator employs voice, head motion, and eye blink to animate the human face. The adaptive controller dynamically selects the appropriate generator model based on the trade-off between video quality and delay. Experimental results demonstrate the effectiveness of HeadsetOff in achieving high-quality, low-latency video conferencing on economical VR headsets.
title HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets
topic Multimedia
url https://arxiv.org/abs/2407.19988