22, 49, 51, 53]. While related, existing patch-based editing techniques are not directly applicable to our scenario because of problemspecific challenges in monocular depth estimation. These
《Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging》(CVPR 2021) GitHub:https:// github.com/compphoto/BoostingMonocularDepth [fig2]《ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer》(ACL 2021) GitHub:https://...
Learning-based multi-task models have been widely used in various scene understanding tasks,and complement each other,i.e.,they allow us to consider prior semantic information to better infer depth.We boost the unsupervised monocular depth estimation using semantic segmentation as an auxil-iary task...
py --Final --max_res 2000 --data_dir PATH_TO_INPUT --output_dir PATH_TO_RESULT --depthNet 0 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging S. Mahdi H. Miangoleh*, Sebastian Dille*, Long Mai, Sylvain Paris, Yağız Aksoy. ...
BoostingDepth This repository contains the source code of our paper:Guangkai Xu, Wei Yin, Hao Chen, Kai Cheng, Feng Zhao, Chunhua Shen, Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth (Boosting Monocular Depth Estimation with Sparse Guided Points) ...
Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. However, the presence of moving objects in dynamic scenes introduces inevitable inconsistencies, causing misaligned multi-frame feature matching and misl...
Spike transformer: Monocular depth estimation for spiking camera. In ECCV, pages 34–52, 2022. 2 [58] Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, and Tiejun Huang. Learning temporal-ordered representation for spike streams based on discrete wavelet transforms. In ...
Curvilinear saliency, which is related to curvature estimation, is exploited as a loss function to boost the depth accuracy at object boundaries and raise the performance of the estimated high-resolution depth maps. We evaluate our model on the public NYU Depth v2 and Make3D datasets. The ...
Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. However, the presence of moving objects in dynamic scenes introduces inevitable inconsistencies, causing misaligned multi-frame feature matching and ...
You can compute the optimal high-resolution estimation size for a given image using our R20 resolution calculator, also provided in this repository. You can also simply use 2x or 3x resolution to simply add more details. For more information on this project: Boosting Monocular Depth Estimation Mo...