Search Results for author:
Found 6 papers, 4 papers with code
MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision
We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only.
SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
Our method scales to large scenes and handles free camera motion: It takes as input an arbitrarily large point cloud gathered by a depth sensor as well as camera poses to predict NBV.
Improving neural implicit surfaces geometry with patch warping
Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited.
Deep Multi-View Stereo gone wild
Deep multi-view stereo (MVS) methods have been developed and extensively compared on simple datasets, where they now outperform classical approaches.
Learning to Guide Local Feature Matches
We tackle the problem of finding accurate and robust keypoint correspondences between images.
Robust SfM with Little Image Overlap
Usual Structure-from-Motion (SfM) techniques require at least trifocal overlaps to calibrate cameras and reconstruct a scene.
