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,…
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…
Reflection and Rotation Symmetry Detection via Equivariant Learning
Ahyun Seo, Byungjin Kim, Suha Kwak +1
The inherent challenge of detecting symmetries stems from arbitrary orientations of symmetry patterns; a reflection symmetry mirrors itself against an axis with a specific orientat…
Learning to Discover Reflection Symmetry via Polar Matching Convolution
Ahyun Seo, Woohyeon Shim, Minsu Cho
The task of reflection symmetry detection remains challenging due to significant variations and ambiguities of symmetry patterns in the wild. Furthermore, since the local regions a…