Mingfei Yan

Aria Gen 2 Pilot Dataset

Kong Chen, James A. Fort, Aria Kang, Jonathan Wittmer et autres

The Aria Gen 2 Pilot Dataset (A2PD) is an egocentric multimodal open dataset captured using the state-of-the-art Aria Gen 2 glasses. To facilitate timely access, A2PD is released incrementally with ongoing dataset enhancements. The initial release features Dia'ane, our primary subject, who …

Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset

Zhao Dong, Ka Chen, Zhaoyang Lv, Hong-Xing Yu et autres

We introduce Digital Twin Catalog (DTC), a new large-scale photorealistic 3D object digital twin dataset. A digital twin of a 3D object is a highly detailed, virtually indistinguishable representation of a physical object, accurately capturing its shape, appearance, physical properties, and other …

us (code pays fourni par la source)

Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset

Zhao Dong, Ka Chen, Zhaoyang Lv, Hong-Xing Yu et autres

We introduce the Digital Twin Catalog (DTC), a new large-scale photorealistic 3D object digital twin dataset. A digital twin of a 3D object is a highly detailed, virtually indistinguishable representation of a physical object, accurately capturing its shape, appearance, physical properties, and …

Ego4D: Around the World in 3,600 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene H. Byrne, Vincent Cartillier et autres

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. …

us, it, gb, sa, sg, in, Rwanda, cl, bo, jp (code pays fourni par la source)

Project Aria: A New Tool for Egocentric Multi-Modal AI Research

Jakob Julian Engel, Kiran K. Somasundaram, Michael Goesele, Huixuan Tang et autres

Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception. These future devices will need to be all-day wearable in a socially acceptable form-factor to support always available, context-aware and personalized AI applications. …

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene H. Byrne, Zachary Chavis et autres

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of dailylife activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. …

us, it, gb, sa, sg, in, Rwanda, bo, jp, ru (code pays fourni par la source)

The Replica Dataset: A Digital Replica of Indoor Spaces

Julian Straub, Thomas J. Whelan, Lingni Ma, Yufan Chen et autres

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. Each scene consists of a dense mesh, high-resolution high-dynamic-range (HDR) textures, per-primitive semantic class and instance information, and planar mirror and glass reflectors. The …