An extension of Open3D to address 3D Machine Learning tasks
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Updated
Jul 17, 2024 - Python
An extension of Open3D to address 3D Machine Learning tasks
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
A multi-sensor capture system for free viewpoint video.
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
3D Graph Neural Networks for RGBD Semantic Segmentation
[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.
OcclusionFusion: realtime dynamic 3D reconstruction based on single-view RGB-D
Python implementation of RGBD-PTAM algorithm
Code for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection". [RGB-D Salient Object Detection]
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)
Code examples of point cloud processing in python.
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
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