5 papers · 1 filter
Splat2Real: Novel-view Scaling for Physical AI with 3D Gaussian Splatting
Hansol Lim, Jongseong Brad Choi
Physical AI faces viewpoint shift between training and deployment, and novel-view robustness is essential for monocular RGB-to-3D perception. We cast Real2Render2Real monocular dep…
Transforming Omnidirectional RGB-LiDAR data into 3D Gaussian Splatting
Semin Bae, Hansol Lim, Jongseong Brad Choi
The demand for large-scale digital twins is rapidly growing in robotics and autonomous driving. However, constructing these environments with 3D Gaussian Splatting (3DGS) usually r…
SARA: Scene-Aware Reconstruction Accelerator
Jee Won Lee, Hansol Lim, Minhyeok Im +2
We present SARA (Scene-Aware Reconstruction Accelerator), a geometry-driven pair selection module for Structure-from-Motion (SfM). Unlike conventional pipelines that select pairs b…
PRISM: Color-Stratified Point Cloud Sampling
Hansol Lim, Minhyeok Im, Jongseong Brad Choi
We present PRISM, a novel color-guided stratified sampling method for RGB-LiDAR point clouds. Our approach is motivated by the observation that unique scene features often exhibit…
LiDAR-3DGS: LiDAR Reinforced 3D Gaussian Splatting for Multimodal Radiance Field Rendering
Hansol Lim, Hanbeom Chang, Jongseong Brad Choi +1
In this paper, we explore the capabilities of multimodal inputs to 3D Gaussian Splatting (3DGS) based Radiance Field Rendering. We present LiDAR-3DGS, a novel method of reinforcing…