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Related papers: Bringing Telepresence to Every Desk

200 papers

Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception models. However, existing approaches often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Wei Wu , Xi Guo , Weixuan Tang , Tingxuan Huang , Chiyu Wang , Dongyue Chen , Chenjing Ding

Generating good quality and geometrically plausible synthetic images of humans with the ability to control appearance, pose and shape parameters, has become increasingly important for a variety of tasks ranging from photo editing, fashion…

Computer Vision and Pattern Recognition · Computer Science 2019-10-21 Mihai Zanfir , Elisabeta Oneata , Alin-Ionut Popa , Andrei Zanfir , Cristian Sminchisescu

The Metaverse and its promises are fast becoming reality as maturing technologies are empowering the different facets. One of the highlights of the Metaverse is that it offers the possibility for highly immersive and interactive…

Networking and Internet Architecture · Computer Science 2023-03-09 Wenhan Yu , Terence Jie Chua , Jun Zhao

This paper presents the architecture and implementation of a tele-presence wheelchair system based on tele-presence robot, intelligent wheelchair, and touch screen technologies. The tele-presence wheelchair system consists of a commercial…

Robotics · Computer Science 2016-08-24 Jiajun Shen , Bin Xu , Mingtao Pei , Yunde Jia

Modern video generative models based on diffusion models can produce very realistic clips, but they are computationally inefficient, often requiring minutes of GPU time for just a few seconds of video. This inefficiency poses a critical…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Jieying Chen , Jeffrey Hu , Joan Lasenby , Ayush Tewari

Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping the results high quality. However, they are still…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Yuxuan Han , Junfeng Lyu , Feng Xu

Generating human videos with realistic and controllable motions is a challenging task. While existing methods can generate visually compelling videos, they lack separate control over four key video elements: foreground subject, background…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Jingyun Liang , Jingkai Zhou , Shikai Li , Chenjie Cao , Lei Sun , Yichen Qian , Weihua Chen , Fan Wang

In this paper, we present an end-to-end pipeline for the creation of high-quality animatable volumetric video content of human performances. Going beyond the application of free-viewpoint volumetric video, we allow re-animation and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-03 Anna Hilsmann , Philipp Fechteler , Wieland Morgenstern , Wolfgang Paier , Ingo Feldmann , Oliver Schreer , Peter Eisert

This paper presents a telepresence interaction framework based on touchscreen and telepresence-robot technologies. The core of the framework is a new user interface, Touchable live video Image based User Interface, called TIUI. The TIUI…

Human-Computer Interaction · Computer Science 2016-08-23 Yunde Jia , Bin Xu , Jiajun Shen , Mintao Pei , Zhen Dong , Jingyi Hou , Min Yang

4D reconstruction of human-object interaction is critical for immersive VR/AR experience and human activity understanding. Recent advances still fail to recover fine geometry and texture results from sparse RGB inputs, especially under…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Guoxing Sun , Xin Chen , Yizhang Chen , Anqi Pang , Pei Lin , Yuheng Jiang , Lan Xu , Jingya Wang , Jingyi Yu

We present a method for fast 3D reconstruction and real-time rendering of dynamic humans from monocular videos with accompanying parametric body fits. Our method can reconstruct a dynamic human in less than 3h using a single GPU, compared…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Ignacio Rocco , Iurii Makarov , Filippos Kokkinos , David Novotny , Benjamin Graham , Natalia Neverova , Andrea Vedaldi

In next-generation Internet services, such as Metaverse, the mixed reality (MR) technique plays a vital role. Yet the limited computing capacity of the user-side MR headset-mounted device (HMD) prevents its further application, especially…

Signal Processing · Electrical Eng. & Systems 2022-11-29 Hongyang Du , Jiacheng Wang , Dusit Niyato , Jiawen Kang , Zehui Xiong , Dong In Kim , Boon Hee Soong

Recent Text-to-Video (T2V) models have demonstrated powerful capability in visual simulation of real-world geometry and physical laws, indicating its potential as implicit world models. Inspired by this, we explore the feasibility of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Yu Li , Menghan Xia , Gongye Liu , Jianhong Bai , Xintao Wang , Conglang Zhang , Yuxuan Lin , Ruihang Chu , Pengfei Wan , Yujiu Yang

We aim to simultaneously estimate the 3D articulated pose and high fidelity volumetric occupancy of human performance, from multiple viewpoint video (MVV) with as few as two views. We use a multi-channel symmetric 3D convolutional…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Andrew Gilbert , Matthew Trumble , Adrian Hilton , John Collomosse

Photorealistic human novel view synthesis from a single image is crucial for democratizing immersive 3D telepresence, eliminating the need for complex multi-camera setups. However, current rendering-centric methods prioritize visual…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Fangyu Lin , Yingdong Hu , Lunjie Zhu , Zhening Liu , Yushi Huang , Zehong Lin , Jun Zhang

Video personalization aims to generate videos that faithfully reflect a user-provided subject while following a text prompt. However, existing approaches often rely on heavy video-based finetuning or large-scale video datasets, which impose…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Hyunkoo Lee , Wooseok Jang , Jini Yang , Taehwan Kim , Sangoh Kim , Sangwon Jung , Seungryong Kim

Generating multi-view images based on text or single-image prompts is a critical capability for the creation of 3D content. Two fundamental questions on this topic are what data we use for training and how to ensure multi-view consistency.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Qi Zuo , Xiaodong Gu , Lingteng Qiu , Yuan Dong , Zhengyi Zhao , Weihao Yuan , Rui Peng , Siyu Zhu , Zilong Dong , Liefeng Bo , Qixing Huang

Every time you sit in front of a TV or monitor, your face is actively illuminated by time-varying patterns of light. This paper proposes to use this time-varying illumination for synthetic relighting of your face with any new illumination…

Computer Vision and Pattern Recognition · Computer Science 2021-11-12 Soumyadip Sengupta , Brian Curless , Ira Kemelmacher-Shlizerman , Steve Seitz

Controllable video editing has demonstrated remarkable potential across diverse applications, particularly in scenarios where capturing or re-capturing real-world videos is either impractical or costly. This paper introduces a novel and…

Computer Vision and Pattern Recognition · Computer Science 2024-02-23 Ziling Liu , Jinyu Yang , Mingqi Gao , Feng Zheng

Estimating the 3D structure of the human body from natural scenes is a fundamental aspect of visual perception. 3D human pose estimation is a vital step in advancing fields like AIGC and human-robot interaction, serving as a crucial…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Jiong Wang , Fengyu Yang , Wenbo Gou , Bingliang Li , Danqi Yan , Ailing Zeng , Yijun Gao , Junle Wang , Yanqing Jing , Ruimao Zhang