[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

[CVPR 2021] Monocular depth estimation using wavelets for efficiency

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

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

Python toolbox for the NYU Depth Dataset V2

Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]

Monocular depth prediction with PyTorch

Depth estimation from RGB images using fully convolutional neural networks.

[ECCV 2024] Monocular Occupancy Prediction for Scalable Indoor Scenes

[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation

Depth estimation from RGB images using a DenseNet based deep model.

Practical Depth Estimation with Image Segmentation and Serial U-Nets

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

A PyTorch implementation of "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection"

Object detection method that can simultaneously estimate the positions and depth of the objects from images

Simple Tool To Extract nyu_depth_v2_labeled.mat

This is the code for the work "Single image dehazing using improved cycleGAN" published in the Journal of Visual Communication and Image Representation.

Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.

Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.

Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.