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Related papers: EgoTwin: Dreaming Body and View in First Person

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Video diffusion models have recently achieved remarkable progress in realism and controllability. However, achieving seamless video translation across different perspectives, such as first-person (egocentric) and third-person (exocentric),…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Quanjian Song , Yiren Song , Kelly Peng , Yuan Gao , Mike Zheng Shou

Generative world models have shown promise for simulating dynamic environments, yet egocentric video remains challenging due to rapid viewpoint changes, frequent hand-object interactions, and goal-directed procedures whose evolution depends…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Yifan Shen , Jiateng Liu , Xinzhuo Li , Yuanzhe Liu , Bingxuan Li , Houze Yang , Wenqi Jia , Yijiang Li , Tianjiao Yu , James Matthew Rehg , Xu Cao , Ismini Lourentzou

Egocentric video generation with fine-grained control through body motion is a key requirement towards embodied AI agents that can simulate, predict, and plan actions. In this work, we propose EgoControl, a pose-controllable video diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Enrico Pallotta , Sina Mokhtarzadeh Azar , Lars Doorenbos , Serdar Ozsoy , Umar Iqbal , Juergen Gall

Egocentric perception enables humans to experience and understand the world directly from their own point of view. Translating exocentric (third-person) videos into egocentric (first-person) videos opens up new possibilities for immersive…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Taewoong Kang , Kinam Kim , Dohyeon Kim , Minho Park , Junha Hyung , Jaegul Choo

Understanding the world in first-person view is fundamental in Augmented Reality (AR). This immersive perspective brings dramatic visual changes and unique challenges compared to third-person views. Synthetic data has empowered…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Gen Li , Kaifeng Zhao , Siwei Zhang , Xiaozhong Lyu , Mihai Dusmanu , Yan Zhang , Marc Pollefeys , Siyu Tang

Imitation learning based visuomotor policies have achieved strong performance in robotic manipulation, yet they often remain sensitive to egocentric viewpoint shifts. Unlike third-person viewpoint changes that only move the camera,…

Egocentric human motion generation and forecasting with scene-context is crucial for enhancing AR/VR experiences, improving human-robot interaction, advancing assistive technologies, and enabling adaptive healthcare solutions by accurately…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Chaitanya Patel , Hiroki Nakamura , Yuta Kyuragi , Kazuki Kozuka , Juan Carlos Niebles , Ehsan Adeli

Ego-to-exo video generation refers to generating the corresponding exocentric video according to the egocentric video, providing valuable applications in AR/VR and embodied AI. Benefiting from advancements in diffusion model techniques,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Hongchen Luo , Kai Zhu , Wei Zhai , Yang Cao

Collecting large-scale egocentric video datasets with dense spatial and temporal annotations is costly, slow, and often constrained by environmental biases, privacy constraints, and limited coverage of interaction patterns. While synthetic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Rosario Leonardi , Francesco Ragusa , Daniele Materia , Alessandro Passanisi , James Fort , Jakob Engel , Giovanni Maria Farinella

An ideal digital telepresence experience requires accurate replication of a person's body, clothing, and movements. To capture and transfer these movements into virtual reality, the egocentric (first-person) perspective can be adopted,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 G. Kutay Türkoglu , Julian Tanke , Iheb Belgacem , Lev Markhasin

Cross-view video synthesis task seeks to generate video sequences of one view from another dramatically different view. In this paper, we investigate the exocentric (third-person) view to egocentric (first-person) view video generation…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Gaowen Liu , Hao Tang , Hugo Latapie , Jason Corso , Yan Yan

First-person (egocentric) and third person (exocentric) videos are drastically different in nature. The relationship between these two views have been studied in recent years, however, it has yet to be fully explored. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2018-12-04 Mohamed Elfeki , Krishna Regmi , Shervin Ardeshir , Ali Borji

Perceiving the world from both egocentric (first-person) and exocentric (third-person) perspectives is fundamental to human cognition, enabling rich and complementary understanding of dynamic environments. In recent years, allowing the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 Yuping He , Yifei Huang , Guo Chen , Lidong Lu , Baoqi Pei , Jilan Xu , Tong Lu , Yoichi Sato

Controllable and physically grounded egocentric video generation is essential for embodied agents to reason about how their own and others' actions manifest and change the world. Compared to generic video synthesis, egocentric generation is…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Qiao Gu , Lingni Ma , Adam W Harley , Richard Newcombe , Florian Shkurti , Julian Straub

Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments. Within this context, egocentric video generation, which centers on the human perspective, holds significant…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Xiaofeng Wang , Kang Zhao , Feng Liu , Jiayu Wang , Guosheng Zhao , Xiaoyi Bao , Zheng Zhu , Yingya Zhang , Xingang Wang

We investigate exocentric-to-egocentric cross-view translation, which aims to generate a first-person (egocentric) view of an actor based on a video recording that captures the actor from a third-person (exocentric) perspective. To this…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Mi Luo , Zihui Xue , Alex Dimakis , Kristen Grauman

Egocentric vision is essential for both human and machine visual understanding, particularly in capturing the detailed hand-object interactions needed for manipulation tasks. Translating third-person views into first-person views…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Junho Park , Andrew Sangwoo Ye , Taein Kwon

Mirror neurons have been observed in the primary motor cortex of primate species, in particular in humans and monkeys. A mirror neuron fires when a person performs a certain action, and also when he observes the same action being performed…

Computer Vision and Pattern Recognition · Computer Science 2016-12-20 Shervin Ardeshir , Krishna Regmi , Ali Borji

Humans exhibit adaptive, context-sensitive responses to egocentric visual input. However, faithfully modeling such reactions from egocentric video remains challenging due to the dual requirements of strictly causal generation and precise 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Libo Zhang , Zekun Li , Tianyu Li , Zeyu Cao , Rui Xu , Xiaoxiao Long , Wenjia Wang , Jingbo Wang , Yuan Liu , Wenping Wang , Daquan Zhou , Taku Komura , Zhiyang Dou

Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their real counterparts. The core technical challenge is two fold:…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Jianchun Chen , Jian Wang , Yinda Zhang , Rohit Pandey , Thabo Beeler , Marc Habermann , Christian Theobalt
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