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title
description
image
site name
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updated
2026-03-05 23:26:47
raw text
DistDepth Toward Practical Monocular Indoor Depth Estimation CVPR 2022 Cho-Ying Wu USC Jialiang Wang Meta Reality Labs Michael Hall Meta Reality Labs Ulrich Neumann USC Shuochen Su Meta Reality Labs Paper Supplementary Codes Data Instruction Switch to Project Introduction Data Download The data are released with the purpose for (self-supervised) depth estimation with stereo cameras . The data are distributed only for non-commercial scientific research purpose and follow a single-user, non-exclusive, non-transferable, non-commercial, free of charge right along with CC-BY-NC License . By downloading the following data, you agree with the license. SimSIN: HM3D and Replica are released when the first-author internship at Meta, and...
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