4 papers
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
Jae Won Jang, Yeonjin Chang, Wonsik Shin +2
We introduce 4DGS360, a diffusion-free framework for 360 dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent…
LoGoColor: Local-Global 3D Colorization for 360° Scenes
Yeonjin Chang, Juhwan Cho, Seunghyeon Seo +2
Single-channel 3D reconstruction is widely used in fields such as robotics and medical imaging. While these methods are good at reconstructing 3D geometry, their outputs are typica…
ROODI: Reconstructing Occluded Objects with Denoising Inpainters
Yeonjin Chang, Erqun Dong, Seunghyeon Seo +2
While the quality of novel-view images has improved dramatically with 3D Gaussian Splatting, extracting specific objects from scenes remains challenging. Isolating individual 3D Ga…
ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-shot Object Rendering
Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo +3
Recent advancements in the Neural Radiance Field (NeRF) have enhanced its capabilities for novel view synthesis, yet its reliance on dense multi-view training images poses a practi…