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Found 4 papers, 3 papers with code
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
3D sensing for monocular in-the-wild images, e. g., depth estimation and 3D object detection, has become increasingly important.
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
To resolve this, we reformulate the MIM from reconstructing a single masked image to reconstructing a pair of masked images, enabling the pretraining of transformer module.
LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
This observation motivates us to decouple the video depth estimation into two components, a normalized pose estimation over a flowmap and a logged residual depth estimation over a mono-depth map.
Ranked #2 on
Monocular Depth Estimation
on KITTI Eigen split
The Edge of Depth: Explicit Constraints between Segmentation and Depth
In this work we study the mutual benefits of two common computer vision tasks, self-supervised depth estimation and semantic segmentation from images.
