3 papers
cs.CV2026
MaRO-GS: Mask-Robust Object-Centric Gaussian Splatting from Inconsistent Multi-view Masks
Eunji Kim, Gahyeon Kim, Gianella Cravioto +4
We address the challenge of accurate 3D object reconstruction from multi-view images in Gaussian Splatting. Existing object-level 3DGS methods reconstruct the entire scene rather t…
cs.CV2026
CompSplat: Compression-aware 3D Gaussian Splatting for Real-world Video
Hojun Song, Heejung Choi, Aro Kim +5
High-quality novel view synthesis (NVS) from real-world videos is crucial for applications such as cultural heritage preservation, digital twins, and immersive media. However, real…
cs.CV2026
G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation
Hojun Song, Chae-yeong Song, Jeong-hun Hong +5
Point cloud segmentation is critical for 3D scene understanding. However, sparse and irregular point distributions provide limited appearance evidence, making geometry-only feature…