A paper list of RGBD semantic segmentation (processing)

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

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

[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"

[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"

[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)

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

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)

ENet for 2D semantic segmentation in ScanNet

This repository is about an implementation of SegNet a Convolution-Deconvolution neural network for semantic segmentation trained from scratch with synthetic data.

Autonomous Driving Turtlebot using BiSeNet segmentation network on RGBD data

A High-Efficient Research Development Toolkit for Image Segmentation Based on Pytorch.

Pytorch 1.5 implementation of depth-aware CNN for RGB-D Segmentation, ECCV 2018

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer

This repo contains the PyTorch code for an encoder-decoder model for affordance reasoning and segmentation in RGB-D videos.

Autonomous Drive Turtlebot using BiSeNet segmentation network on RGBD data

DeepLab v3+ model in PyTorch supporting RGBD input

Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano