1 citations · 1 across the 8 of their papers we have counts for
8 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…
Fast Sun-aligned Outdoor Scene Relighting based on TensoRF
Yeonjin Chang, Yearim Kim, Seunghyeon Seo +2
In this work, we introduce our method of outdoor scene relighting for Neural Radiance Fields (NeRF) named Sun-aligned Relighting TensoRF (SR-TensoRF). SR-TensoRF offers a lightweig…
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
Seunghyeon Seo, Yeonjin Chang, Nojun Kwak
Neural Radiance Field (NeRF) has been a mainstream in novel view synthesis with its remarkable quality of rendered images and simple architecture. Although NeRF has been developed…
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
Seunghyeon Seo, Donghoon Han, Yeonjin Chang +1
Neural Radiance Field (NeRF) has broken new ground in the novel view synthesis due to its simple concept and state-of-the-art quality. However, it suffers from severe performance d…
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation
Jookyung Song, Yeonjin Chang, Seonguk Park +1
Object removal and image inpainting in facial images is a task in which objects that occlude a facial image are specifically targeted, removed, and replaced by a properly reconstru…