[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
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Updated
Apr 6, 2024 - Python
[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
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Monocular depth prediction with PyTorch
Depth estimation from RGB images using fully convolutional neural networks.
[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Depth estimation from RGB images using a DenseNet based deep model.
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
Simple Tool To Extract nyu_depth_v2_labeled.mat
Replicated results from DenseDepth using DenseNet169 in Python.
Object detection method that can simultaneously estimate the positions and depth of the objects from images
This is the code for the work "Single image dehazing using improved cycleGAN" published in the Journal of Visual Communication and Image Representation.
A PyTorch implementation of "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection"
Practical Depth Estimation with Image Segmentation and Serial U-Nets
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Monocular depth estimation using ResNet18 encoder decoder
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