Yeonjin Chang

13 papers A* 2A 1Misc 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video.
CoRR
Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
2025 — conf
ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-shot Object Rendering.
CVPR Workshops
Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak
2025 J jnl
LoGoColor: Local-Global 3D Colorization for 360° Scenes.
CoRR
Yeonjin Chang, Juhwan Cho, Seunghyeon Seo, Wonsik Shin, Nojun Kwak
2025 J jnl
ROODI: Reconstructing Occluded Objects with Denoising Inpainters.
CoRR
Yeonjin Chang, Erqun Dong, Seunghyeon Seo, Nojun Kwak, Kwang Moo Yi
2024 A conf
Fast Sun-aligned Outdoor Scene Relighting based on TensoRF.
WACV
Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak
2024 J jnl
HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering.
CoRR
Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak
2023 J jnl
Fast Sun-aligned Outdoor Scene Relighting based on TensoRF.
CoRR
Yeonjin Chang, Yerim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak
2023 A* conf
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis.
ICCV
Seunghyeon Seo, Yeonjin Chang, Nojun Kwak
2023 J jnl
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis.
CoRR
Seunghyeon Seo, Yeonjin Chang, Nojun Kwak
2023 A* conf
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs.
CVPR
Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak
2023 J jnl
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs.
CoRR
Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak
2023 Misc conf
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation.
ICASSP
Jookyung Song, Yeonjin Chang, Seonguk Park, Nojun Kwak
2022 J jnl
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation.
CoRR
Jookyung Song, Yeonjin Chang, Seonguk Park, Nojun Kwak