1 citations · 1 across the 7 of their papers we have counts for
6 papers · 1 filter
Object Pose Transformer: Unifying Unseen Object Pose Estimation
Weihang Li, Lorenzo Garattoni, Fabien Despinoy +2
Learning model-free object pose estimation for unseen instances remains a fundamental challenge in 3D vision. Existing methods typically fall into two disjoint paradigms: category-…
Generative 6D Pose Estimation via Conditional Flow Matching
Amir Hamza, Davide Boscaini, Weihang Li +2
Existing methods for instance-level 6D pose estimation typically rely on neural networks that either directly regress the pose in or estimate it indirectly via loc…
Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images
Wenzhao Tang, Weihang Li, Xiucheng Liang +4
Despite recent advancements in surface reconstruction, Level of Detail (LoD) 3 building reconstruction remains an unresolved challenge. The main issue pertains to the object-orient…
GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation
Weihang Li, Hongli Xu, Junwen Huang +4
A key challenge in model-free category-level pose estimation is the extraction of contextual object features that generalize across varying instances within a specific category. Re…
DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair
Weihang Li, Weirong Chen, Shenhan Qian +3
Recent advances in 3D Gaussian Splatting have shown promising results. Existing methods typically assume static scenes and/or multiple images with prior poses. Dynamics, sparse vie…
SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
HyunJun Jung, Weihang Li, Shun-Cheng Wu +8
Traditionally, 3d indoor datasets have generally prioritized scale over ground-truth accuracy in order to obtain improved generalization. However, using these datasets to evaluate…