5 papers · 1 filter
NeuDonatello: Uncertainty-Aware Framework for Accurate Neural SDF Learning
Alvin Jinsung Choi, Wanhee Kim, Taeyun Kim +3
Neural surface reconstruction has emerged as a powerful paradigm for recovering high-quality 3D surfaces from multi-view images. However, recovering accurate geometry solely from R…
K-EXAONE 2.0 Technical Report
Eunbi Choi, Kibong Choi, Sehyun Chun +74
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research as a step in our effort toward global frontier-scale foundatio…
CLUE: Adaptively Prioritized Contextual Cues by Leveraging a Unified Semantic Map for Effective Zero-Shot Object-Goal Navigation
Taeyun Kim, Alvin Jinsung Choi, Dasol Hong +1
Zero-shot object-goal navigation (ZSON) is a challenging problem in robotics that requires a comprehensive understanding of both language and visual observations. Contextual cues f…
VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
Juhye Park, Wooju Lee, Dasol Hong +4
Accurate global localization is critical for autonomous driving and robotics, but GNSS-based approaches often degrade due to occlusion and multipath effects. As an emerging alterna…
E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction
Yunsoo Kim, Changki Sung, Dasol Hong +1
The emergence of neural radiance fields (NeRF) and 3D Gaussian splatting (3DGS) has advanced novel view synthesis (NVS). These methods, however, require high-quality RGB inputs and…