collaborators

6 papers

cs.CV2026

DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF

Ingyun Lee, Jae Won Jang, Seunghyeon Seo +1

Neural Radiance Field (NeRF) has shown remarkable performance in novel view synthesis but requires numerous multi-view images, limiting its practicality in few-shot scenarios. Ray…

cs.CV2026

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…

cs.CV2026

Visual Words Meet BM25: Sparse Auto-Encoder Visual Word Scoring for Image Retrieval

Donghoon Han, Eunhwan Park, Seunghyeon Seo

Dense image retrieval is accurate but offers limited interpretability and attribution, and it can be compute-intensive at scale. We present \textbf{BM25-V}, which applies Okapi BM2…

cs.CV2025

Generative Head-Mounted Camera Captures for Photorealistic Avatars

Shaojie Bai, Seunghyeon Seo, Yida Wang +8

Enabling photorealistic avatar animations in virtual and augmented reality (VR/AR) has been challenging because of the difficulty of obtaining ground truth state of faces. It is ph…

cs.CV2025

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…

cs.CV2025

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…