6 papers
RGBD-to-3D Object Mesh Refinement via Depth Matching and Symmetry Propagation
Ahyun Seo, Minsu Cho
Single-view 3D reconstructors often produce plausible meshes that disagree with the input view, especially near depth discontinuities and self-occlusions. We present a lightweight,…
WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation
Wongyun Yu, Youngwoon Kim, Minsu Cho
Retargeting human object interaction demonstrations to physics based simulation requires reproducing not only body motion but also the object motion and contacts that make manipula…
Diversity-aware View Partitioning for Scalable VGGT
Jinsoo Park, Donggyu Choi, Ahyun Seo +2
Geometry transformers such as VGGT achieve strong performance by jointly reasoning over multiple views with global attention. However, scaling them to large view collections remain…
Axis-level Symmetry Detection with Group-Equivariant Representation
Wongyun Yu, Ahyun Seo, Minsu Cho
Symmetry is a fundamental concept that has been extensively studied, yet detecting it in complex scenes remains a significant challenge in computer vision. Recent heatmap-based app…
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection
Ahyun Seo, Minsu Cho
Symmetry plays a vital role in understanding structural patterns, aiding object recognition and scene interpretation. This paper focuses on rotation symmetry, where objects remain…
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee, Minsu Cho
Determining the 3D orientations of an object in an image, known as single-image pose estimation, is a crucial task in 3D vision applications. Existing methods typically learn 3D ro…