Depth prediction from a single image generates a depth map for a single-view image, whereas binocular stereo matching takes as input a rectified image pair and ...

This study argues that these two tasks can be achieved using only one network with the same weights, and modify existing networks for stereo matching to ...

Feb 6, 2020 · This study argues that these two tasks can be achieved using only one network with the same weights. We modify existing networks for stereo matching to perform ...

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. Remote Sens. 2020, 12, 588. https://doi.org/10.3390/rs12030588.

A curated list of state-of-the-art deep stereo matching resources maintained by Fabio Tosi, Matteo Poggi and Luca Bartolomei, from the University of Bologna.

Efficient deep learning for stereo matching with larger image ... A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching.

The methods for this can be categorized into (1) depth prediction from a single image and (2) binocular stereo matching. However, these two methods are ...

This paper proposes a new framework for depth completion robust against domain-shifting issues. It exploits the generalization capability of modern stereo ...

Jul 31, 2024 · This paper introduces the EventMatch framework, which unifies event-based optical flow estimation and stereo matching to address both temporal and spatial ...

This paper proposes monoResMatch, a novel deep architecture designed to infer depth from a single input image by synthesizing features from a different point ...