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Related papers: Bringing Telepresence to Every Desk

200 papers

Due to the widespread adoption of "work-from-home" policies, videoconferencing applications (e.g., Zoom) have become indispensable for remote communication. However, they often lack immersiveness, leading to the so-called "Zoom fatigue" and…

Networking and Internet Architecture · Computer Science 2024-09-13 Ruizhi Cheng , Nan Wu , Matteo Varvello , Eugene Chai , Songqing Chen , Bo Han

Fast 3D clothed human reconstruction from monocular video remains a significant challenge in computer vision, particularly in balancing computational efficiency with reconstruction quality. Current approaches are either focused on static…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Matthew Marchellus , Nadhira Noor , In Kyu Park

Mixed Reality (MR) headsets promise a future of immersive telepresence where virtual humans blend indistinguishably into real or virtual surroundings. Achieving this vision requires a method for capturing a user's motion, estimating…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Jianchun Chen , Yinda Zhang , Rohit Pandey , Thabo Beeler , Marc Habermann , Christian Theobalt

While the presentation of photo-realistic appearance plays a major role in immersion in an augmented virtuality environment, displaying the photo-realistic appearance of real objects remains a challenging problem. Recent developments in…

Human-Computer Interaction · Computer Science 2022-10-25 Yuichi Hiroi , Yuta Itoh , Jun Rekimoto

Creating controllable 3D human portraits from casual smartphone videos is highly desirable due to their immense value in AR/VR applications. The recent development of 3D Gaussian Splatting (3DGS) has shown improvements in rendering quality…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Alfredo Rivero , ShahRukh Athar , Zhixin Shu , Dimitris Samaras

Generating high-quality 360-degree views of human heads from single-view images is essential for enabling accessible immersive telepresence applications and scalable personalized content creation. While cutting-edge methods for full head…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Yuming Gu , Phong Tran , Yujian Zheng , Hongyi Xu , Heyuan Li , Adilbek Karmanov , Hao Li

We present a method for real-time stereo scene capture and remote VR visualization that allows a human operator to freely move their head and thus intuitively control their perspective during teleoperation. The stereo camera is mounted on a…

Robotics · Computer Science 2021-09-24 Max Schwarz , Sven Behnke

Video generation models have made significant progress in generating realistic content, enabling applications in simulation, gaming, and film making. However, current generated videos still contain visual artifacts arising from 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Duolikun Danier , Ge Gao , Steven McDonagh , Changjian Li , Hakan Bilen , Oisin Mac Aodha

Companies all over the world started to produce and sell telepresence robots in the last decade. Users of these robots have to plan their way to avoid collisions and control the speed of the robot to move it to destination point. This…

Robotics · Computer Science 2017-09-26 Dmitry Suvorov , Roman Zhukov , Dzmitry Tsetserukou , Anton Evmenenko , Boris Goldstein

360$^{\circ}$ video requires human viewers to actively control "where" to look while watching the video. Although it provides a more immersive experience of the visual content, it also introduces additional burden for viewers; awkward…

Computer Vision and Pattern Recognition · Computer Science 2017-05-26 Yu-Chuan Su , Kristen Grauman

Manual attendance tracking at large-scale events, such as marriage functions or conferences, is often inefficient and prone to human error. To address this challenge, we propose an automated, cloud-based attendance tracking system that uses…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Dhruv Motwani , Ankush Tyagi , Vipul Dabhi , Harshadkumar Prajapati

During the Covid-19 pandemic, online meetings became common for daily teamwork in the home office. To understand the opportunities and challenges of meeting in virtual reality (VR) compared to video conferences, we conducted the weekly team…

Human-Computer Interaction · Computer Science 2023-01-24 Michael Bonfert , Anke V. Reinschluessel , Susanne Putze , Yenchin Lai , Dmitry Alexandrovsky , Rainer Malaka , Tanja Döring

Realistic video simulation has shown significant potential across diverse applications, from virtual reality to film production. This is particularly true for scenarios where capturing videos in real-world settings is either impractical or…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Chen Bai , Zeman Shao , Guoxiang Zhang , Di Liang , Jie Yang , Zhuorui Zhang , Yujian Guo , Chengzhang Zhong , Yiqiao Qiu , Zhendong Wang , Yichen Guan , Xiaoyin Zheng , Tao Wang , Cheng Lu

The synthesis of spatiotemporally coherent 4D content presents fundamental challenges in computer vision, requiring simultaneous modeling of high-fidelity spatial representations and physically plausible temporal dynamics. Current…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Xiaoyan Liu , Kangrui Li , Yuehao Song , Jiaxin Liu

Recent video generation models have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 David Romero , Ariana Bermudez , Viacheslav Iablochnikov , Hao Li , Fabio Pizzati , Ivan Laptev

Reconstructing dense, volumetric models of real-world 3D scenes is important for many tasks, but capturing large scenes can take significant time, and the risk of transient changes to the scene goes up as the capture time increases. These…

Computer Vision and Pattern Recognition · Computer Science 2019-07-03 Stuart Golodetz , Tommaso Cavallari , Nicholas A Lord , Victor A Prisacariu , David W Murray , Philip H S Torr

This research paper proposes a Latent Diffusion Model for 3D (LDM3D) that generates both image and depth map data from a given text prompt, allowing users to generate RGBD images from text prompts. The LDM3D model is fine-tuned on a dataset…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Gabriela Ben Melech Stan , Diana Wofk , Scottie Fox , Alex Redden , Will Saxton , Jean Yu , Estelle Aflalo , Shao-Yen Tseng , Fabio Nonato , Matthias Muller , Vasudev Lal

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

Realtime virtual data of objects and human presence in a large area holds a valuable key in enabling many experiences and applications in various industries and with exponential rise in the technological development of artificial…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Sahaj Garg

Gesture recognition is an indispensable component of natural and efficient human-computer interaction technology, particularly in desktop-level applications, where it can significantly enhance people's productivity. However, the current…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Qi Wang , Fengchao Zhu , Guangming Zhu , Liang Zhang , Ning Li , Eryang Gao