# A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation

arXiv: https://arxiv.org/abs/2003.00711 · HTML: https://mlsanity.com/paper/2003.00711/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Mar 2020.

## Built on by (most cited first, 1 of 1)

- [2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation](https://mlsanity.com/paper/2210.15374/) (2022)

## Abstract (arXiv)

We propose a learning-based network for depth map estimation from multi-view stereo (MVS) images. Our proposed network consists of three sub-networks: 1) a base network for initial depth map estimation from an unstructured stereo image pair, 2) a novel refinement network that leverages both photometric and geometric information, and 3) an attentional multi-view aggregation framework that enables efficient information exchange and integration among different stereo image pairs. The proposed network, called A-TVSNet, is evaluated on various MVS datasets and shows the ability to produce high quality depth map that outperforms competing approaches. Our code is available at https://github.com/daiszh/A-TVSNet.