Search Results for author:
Found 2 papers, 1 papers with code
Uncertainty-aware No-Reference Point Cloud Quality Assessment
The evolution of compression and enhancement algorithms necessitates an accurate quality assessment for point clouds.
Improved Point Transformation Methods For Self-Supervised Depth Prediction
Given stereo or egomotion image pairs, a popular and successful method for unsupervised learning of monocular depth estimation is to measure the quality of image reconstructions resulting from the learned depth predictions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
