A Survey on Deep Stereo Matching in the Twenties

10 July 2024

Papers citing "A Survey on Deep Stereo Matching in the Twenties"

8 / 8 papers shown

Title
LightStereo: Channel Boost Is All You Need for Efficient 2D Cost Aggregation Xianda Guo Chenming Zhang Dujun Nie Wenzhao Zheng Youmin Zhang Long Chen Long Chen 18 7 0 28 Jun 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang Bingyi Kang Zilong Huang Xiaogang Xu Jiashi Feng Hengshuang Zhao VLM 133 681 0 19 Jan 2024
DynamicStereo: Consistent Dynamic Depth from Stereo Videos Soumya R. Samineni Ignacio Rocco Benjamin Graham Natalia Neverova Andrea Vedaldi Christian Rupprecht MDE 27 38 0 03 May 2023
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo Lukas Mehl Jenny Schmalfuss Azin Jahedi Yaroslava Nalivayko Andrés Bruhn VGen 23 56 0 03 Mar 2023
Expansion of Visual Hints for Improved Generalization in Stereo Matching Andrea Pilzer Yuxin Hou Niki A. Loppi Arno Solin Juho Kannala 3DV 23 4 0 01 Nov 2022
Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods Laurent Valentin Jospin A. Antony Lian Xu Hamid Laga F. Boussaïd Bennamoun 16 4 0 17 Sep 2022
Bilateral Grid Learning for Stereo Matching Networks Binfeng Xu Yuhua Xu Xiaoli Yang Wei Jia Yulan Guo 33 62 0 01 Jan 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015