6 papers
SwiftVGGT: A Scalable Visual Geometry Grounded Transformer for Large-Scale Scenes
Jungho Lee, Minhyeok Lee, Sunghun Yang +2
3D reconstruction in large-scale scenes is a fundamental task in 3D perception, but the inherent trade-off between accuracy and computational efficiency remains a significant chall…
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation
Sunghun Yang, Minhyeok Lee, Suhwan Cho +2
Video monocular depth estimation is essential for applications such as autonomous driving, AR/VR, and robotics. Recent transformer-based single-image monocular depth estimation mod…
MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detection
Sunghun Yang, Minhyeok Lee, Jungho Lee +1
Monocular 3D object detection offers a cost-effective solution for autonomous driving but suffers from ill-posed depth and limited field of view. These constraints cause a lack of…
TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection
Suhwan Cho, Minhyeok Lee, Jungho Lee +2
Video salient object detection (SOD) relies on motion cues to distinguish salient objects from backgrounds, but training such models is limited by scarce video datasets compared to…
Effective SAM Combination for Open-Vocabulary Semantic Segmentation
Minhyeok Lee, Suhwan Cho, Jungho Lee +4
Open-vocabulary semantic segmentation aims to assign pixel-level labels to images across an unlimited range of classes. Traditional methods address this by sequentially connecting…
Video Diffusion Models are Strong Video Inpainter
Minhyeok Lee, Suhwan Cho, Chajin Shin +3
Propagation-based video inpainting using optical flow at the pixel or feature level has recently garnered significant attention. However, it has limitations such as the inaccuracy…