$End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation$

End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation

The Visual Computer (TVC), 2022

14 April 2022

Pietro Zanuttigh

ArXiv (abs)PDF HTML

Papers citing "End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation"

4 / 4 papers shown

Title
Seeing Clearly and Deeply: An RGBD Imaging Approach with a Bio-inspired Monocentric Design Zongxi Yu Xiaolong Qian Shaohua Gao Qi Jiang Yao Gao Kailun Yang Kaiwei Wang 60 0 0 29 Oct 2025
WorDepth: Variational Language Prior for Monocular Depth EstimationComputer Vision and Pattern Recognition (CVPR), 2024 Ziyao Zeng Daniel Wang Fengyu Yang Hyoungseob Park Yangchao Wu Stefano Soatto Byung-Woo Hong Dong Lao Alex Wong MDE 507 40 0 04 Apr 2024
Learning to Adapt CLIP for Few-Shot Monocular Depth EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Xue-mei Hu Ce Zhang Yi Zhang Bowen Hai Ke Yu Zhihai He MDE VLM 217 21 0 02 Nov 2023
Can Language Understand Depth?ACM Multimedia (ACM MM), 2022 Renrui Zhang Ziyao Zeng Ziyu Guo Yafeng Li VLM MDE 302 83 0 03 Jul 2022