1 citations · 2 across the 14 of their papers we have counts for
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…
TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity
Sooyeun Yang, Cheyul Im, Jee Won Lee +1
3D Gaussian Splatting (3DGS) is a technique to create high-quality, real-time 3D scenes from images. This method often produces visual artifacts known as floaters--nearly transpare…
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…