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ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction
  and Relative Depth Estimation

ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation

11 July 2024
Ruijie Zhu
Chuxin Wang
Ziyang Song
Li Liu
Tianzhu Zhang
Yongdong Zhang
    MDE
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Papers citing "ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation"

5 / 5 papers shown
Title
VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery
VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery
Bojin Wu
Jing Chen
MDE
44
0
0
05 May 2025
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang
Bingyi Kang
Zilong Huang
Xiaogang Xu
Jiashi Feng
Hengshuang Zhao
VLM
139
706
0
19 Jan 2024
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Wei Yin
Chi Zhang
Hao Chen
Zhipeng Cai
Gang Yu
Kaixuan Wang
Xiaozhi Chen
Chunhua Shen
MDE
129
174
0
20 Jul 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
158
214
0
03 Mar 2023
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,705
0
06 Jun 2018
1