activity
20232025
most citedProject Aria: A New Tool for Egocentric Multi-Modal AI Research

27 citations · 36 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2025

Aria Gen 2 Pilot Dataset

Chen Kong, James Fort, Aria Kang +20

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 i…

cs.CV2025

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation

Tanner Schmidt, Richard Newcombe

This paper presents Segment This Thing (STT), a new efficient image segmentation model designed to produce a single segment given a single point prompt. Instead of following prior…

cs.CV2025

Photoreal Scene Reconstruction from an Egocentric Device

Zhaoyang Lv, Maurizio Monge, Ka Chen +5

In this paper, we investigate the challenges associated with using egocentric devices to photorealistic reconstruct the scene in high dynamic range. Existing methodologies typicall…

cs.GR2025

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

Zhao Dong, Ka Chen, Zhaoyang Lv +14

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 indistin…

cs.GR2025

Monocular Online Reconstruction with Enhanced Detail Preservation

Songyin Wu, Zhaoyang Lv, Yufeng Zhu +6

We propose an online 3D Gaussian-based dense mapping framework for photorealistic details reconstruction from a monocular image stream. Our approach addresses two key challenges in…

cs.CV2025

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields

Zhengqin Li, Dilin Wang, Ka Chen +11

We present Large Inverse Rendering Model (LIRM), a transformer architecture that jointly reconstructs high-quality shape, materials, and radiance fields with view-dependent effects…