Depth pro: Sharp monocular metric depth in less than a second
A Bochkovskii, A Delaunoy, H Germain… - ar** for unbounded 3d scene reconstruction
Monocular SLAM has received a lot of attention due to its simple RGB inputs and the lifting
of complex sensor constraints. However, existing monocular SLAM systems lack accurate …
of complex sensor constraints. However, existing monocular SLAM systems lack accurate …
Scale-Invariant Monocular Depth Estimation via SSI Depth
Existing methods for scale-invariant monocular depth estimation (SI MDE) often struggle due
to the complexity of the task, and limited and non-diverse datasets, hindering generalizability …
to the complexity of the task, and limited and non-diverse datasets, hindering generalizability …
Video Depth without Video Models
Video depth estimation lifts monocular video clips to 3D by inferring dense depth at every
frame. Recent advances in single-image depth estimation, brought about by the rise of large …
frame. Recent advances in single-image depth estimation, brought about by the rise of large …
Corr-Track: Category-Level 6D Pose Tracking with Soft-Correspondence Matrix Estimation
X Cao, J Li, P Zhao, J Li, X Qin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Category-level pose tracking methods can continuously track the pose of objects without
requiring any prior knowledge of the specific shape of the tracked instance. This makes them …
requiring any prior knowledge of the specific shape of the tracked instance. This makes them …
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
While current high-resolution depth estimation methods achieve strong results, they often
suffer from computational inefficiencies due to reliance on heavyweight models and multiple …
suffer from computational inefficiencies due to reliance on heavyweight models and multiple …
Amodal Depth Anything: Amodal Depth Estimation in the Wild
Amodal depth estimation aims to predict the depth of occluded (invisible) parts of objects in
a scene. This task addresses the question of whether models can effectively perceive the …
a scene. This task addresses the question of whether models can effectively perceive the …
[HTML][HTML] Improving Accuracy and Efficiency of Monocular Depth Estimation in Power Grid Environments Using Point Cloud Optimization and Knowledge Distillation
J **ao, K Zhang, X Xu, S Liu, S Wu, Z Huang, L Li - Energies, 2024 - mdpi.com
In the context of distribution networks, constructing 3D point cloud maps is crucial,
particularly for UAV navigation and path planning tasks. Methods that utilize reflections from …
particularly for UAV navigation and path planning tasks. Methods that utilize reflections from …