[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.

A project for computing high-quality ground truth training examples for RGB-D data.

Code for CVPR 2021 paper. "Calibrated RGB-D Salient Object detection".

3D pose estimation of an RGB-D camera using the least squares technique

SLAM code for RGB-D images in python.

[AAAI 2023 Oral] CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020

RGB-D fusion for two-hand reconstruction

Is Depth Really Necessary for Salient Object Detection? ACM MM 2020

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation

Semantic Instance Fusion for 3D reconstruction of RGB-D indoor images in python

Code for ICLR 2022 paper. "Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection".

This tool takes a mesh file as its input and outputs an RGB image and a depth image.

Fast and robust upper body orientation estimation for mobile robotic applications