5 papers
3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
Hyun-kyu Ko, Jihyeon Park, Younghyun Kim +2
Creating dynamic, view-consistent videos of customized subjects is highly sought after for a wide range of emerging applications, including immersive VR/AR, virtual production, and…
OpenMonoGS-SLAM: Monocular Gaussian Splatting SLAM with Open-set Semantics
Jisang Yoo, Gyeongjin Kang, Hyun-kyu Ko +2
Simultaneous Localization and Mapping (SLAM) is a foundational component in robotics, AR/VR, and autonomous systems. With the rising focus on spatial AI in recent years, combining…
Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
Hyun-kyu Ko, Youbin Kim, Jihyeon Park +5
State Space Models (SSMs)-most notably RNNs-have historically played a central role in sequential modeling. Although attention mechanisms such as Transformers have since dominated…
DiffuseSlide: Training-Free High Frame Rate Video Generation Diffusion
Geunmin Hwang, Hyun-kyu Ko, Younghyun Kim +2
Recent advancements in diffusion models have revolutionized video generation, enabling the creation of high-quality, temporally consistent videos. However, generating high frame-ra…
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Hyun-kyu Ko, Dongheok Park, Youngin Park +3
3D super-resolution aims to reconstruct high-fidelity 3D models from low-resolution (LR) multi-view images. Early studies primarily focused on single-image super-resolution (SISR)…