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Found 4 papers, 1 papers with code
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
In this work, we propose to fuse the scene reconstruction from multiple images and distill this knowledge into a more accurate single-view scene reconstruction.
S4C: Self-Supervised Semantic Scene Completion with Neural Fields
3D semantic scene understanding is a fundamental challenge in computer vision.
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences.
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions
However, their approach does not take into account uncertainties, so that the accuracy of the estimated relative pose is highly dependent on accurate feature positions in the target frame.
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