1 citations · 1 across the 10 of their papers we have counts for
12 papers
SnapPhysics: A Physics-Aware Scene Graph from a Single View for Interactive Mixed Reality Scenes
Suji Kang, Seok-Young Kim, Young Bin Kim +4
We propose SnapPhysics, a training-free framework that reconstructs 3D objects and estimates their physical properties such as mass, friction, and center of gravity from a single i…
AtlasLC: Fast Codec-Ready Compression of Object-Centric 3D Gaussian Splatting
ByungHyun Kim, Jinwoo Jeon, Woontack Woo
3D Gaussian Splatting (3DGS) enables photorealistic novel-view synthesis with real-time rendering, but deploying compressed object-centric 3DGS in XR requires more than image-space…
DeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors
Seok-Young Kim, Abdelrahman Elskhawy, Taewook Ha +4
We present DeWorldSG, a novel framework that generates spatio-temporally robust 3D Semantic Scene Graphs from RGB-D sequences. Existing methods often struggle to construct reliable…
Int3DNet: Scene-Motion Cross Attention Network for 3D Intention Prediction in Mixed Reality
Taewook Ha, Woojin Cho, Dooyoung Kim +1
We propose Int3DNet, a scene-aware network that predicts 3D intention areas directly from scene geometry and head-hand motion cues, enabling robust human intention prediction witho…
Task Breakpoint Generation using Origin-Centric Graph in Virtual Reality Recordings for Adaptive Playback
Selin Choi, Dooyoung Kim, Taewook Ha +2
We propose a method for generating task breakpoints based on an Origin-Centric Graph (OCG) to segment goal-oriented activity recordings into task units for adaptive playback in Vir…
Viewpoint-Tolerant Depth Perception for Shared Extended Space Experience on Wall-Sized Display
Dooyoung Kim, Jinseok Hong, Heejeong Ko +1
We proposed viewpoint-tolerant shared depth perception without individual tracking by leveraging human cognitive compensation in universally 3D rendered images on a wall-sized disp…
Spatio-Temporal Mixed and Augmented Reality Experience Description for Interactive Playback
Dooyoung Kim, Woontack Woo
We propose the Spatio-Temporal Mixed and Augmented Reality Experience Description (MAR-ED), a novel framework to standardize the representation of past events for interactive and a…
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
Dongil Yang, Minjin Kim, Sunghwan Kim +5
The remarkable reasoning and generalization capabilities of Large Language Models (LLMs) have paved the way for their expanding applications in embodied AI, robotics, and other rea…
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
Woojin Cho, Jihyun Lee, Minjae Yi +8
Existing datasets for 3D hand-object interaction are limited either in the data cardinality, data variations in interaction scenarios, or the quality of annotations. In this work,…
Spatial Affordance-aware Interactable Subspace Allocation for Mixed Reality Telepresence
Dooyoung Kim, Seonji Kim, Selin Choi +1
To enable remote Virtual Reality (VR) and Augmented Reality (AR) clients to collaborate as if they were in the same space during Mixed Reality (MR) telepresence, it is essential to…
eCAR: edge-assisted Collaborative Augmented Reality Framework
Jinwoo Jeon, Woontack Woo
We propose a novel edge-assisted multi-user collaborative augmented reality framework in a large indoor environment. In Collaborative Augmented Reality, data communication that syn…
Meta-Objects: Interactive and Multisensory Virtual Objects Learned from the Real World for Use in Augmented Reality
Dooyoung Kim, Taewook Ha, Jinseok Hong +4
We introduce the concept of a meta-object, a next-generation virtual object that inherits the form, properties, and functions of its real-world counterpart, enabling seamless synch…