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nyuv2

Here are 11 public repositories matching this topic...

svip-lab / Indoor-SfMLearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

pytorch unsupervised-learning nyuv2 indoor pose-estimation depth-estimation self-supervised scannet eccv2020 extract-superpixel

Updated Nov 7, 2022
Python

MichaelRamamonjisoa / SharpNet

SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation

contours nyuv2 iccv depth-estimation contour-detection normal-estimation iccv19 iccv2019 iccvw iccvw-2019

Updated Apr 7, 2021
Python

ankurhanda / nyuv2-meta-data

all the meta data needed for nyuv2

dataset rgbd nyuv2

Updated Feb 4, 2017

zanilzanzan / FuseNet_PyTorch

Joint scene classification and semantic segmentation with FuseNet

pytorch segmentation nyuv2 cnn-architecture fusenet

Updated Oct 3, 2023
Python

xapharius / pytorch-nyuv2

PyTorch NYUv2 Dataset Class

pytorch dataset nyuv2

Updated Dec 8, 2022
Python

VainF / nyuv2-python-toolkit

nyuv2 toolbox for data extraction and loading.

data-preprocessing semantic-segmentation nyuv2 depth-estimation normal-estimation

Updated Apr 24, 2023
Python

bhpfelix / NDDR-CNN-PyTorch

PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"

computer-vision deep-learning semantic-segmentation nyuv2 multi-task-learning nyu-depth-v2 surface-normals-estimation

Updated Jun 29, 2019
Python

Lucass97 / nyuv2_raw_dataset_extractor

The NyuV2 Raw Dataset Extractor is a Python project that processes the raw dataset from NyuV2. It provides operations like depth map colorization, undistortion, and frame synchronization to create video sequences. This Python adaptation of the official NyuV2 toolbox simplifies dataset manipulation.

dataset nyuv2 depth-estimation depth-map nyuv2-dataset fill-depth-colorization dataset-extractor

Updated Jul 7, 2023
Jupyter Notebook

MasterSkepticista / Monocular-Depth-Estimation

Replicated results from DenseDepth using DenseNet169 in Python.

nyuv2 monocular-depth nyu-depth-v2 densenet-keras monocular-depth-estimation monocular-slam densenet169

Updated Jun 27, 2019
Python

ScaleMind-C9308A / mtla

MTLA - Multi-Task Learning Archive

nyu nyuv2 multitask-learning cityscapes-dataset nyuv2-dataset oxford-pets-dataset

Updated Feb 8, 2024
Python

hhhwww123 / Create-NYUv2-HHA

python3 depth segmentation 3d nyuv2 hha rawdepth

Updated May 2, 2019
Python

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