Monocular Depth Estimation on NYU-Depth V2 ; 1. HybridDepth. 0.041 ; 2. PrimeDepth + Depth Anything. 0.046 ; 3. Metric3Dv2 (L, FT). 0.047 ; 4. GRIN. 0.051 ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from NYU Depth V2.
This is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.
Mar 1, 2023 · The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
Apr 15, 2024 · We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation.
We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth es- timation. In contrast to the well-known ...
Missing: Nyuv2 | Show results with:Nyuv2
Indoor Segmentation and Support Inference from RGBD Images.
Therefore, in order to get metric depth from their data, one should first divide by 255 then multiply by 10. Note that data from the original labeled NYUv2 ...