Depth estimation from RGBD data using Diode dataset
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Updated
Apr 16, 2023 - Python
Depth estimation from RGBD data using Diode dataset
the web page for my master research
"DACL: Learning a Domain-Agnostic Contrastive Representation for Dense Prediction beyond Distribution Gap" (arXiv)
Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".
Edge-based Monocular Depth Estimation
A Project that primarily uses mono vision cameras and auxiliary sensors to estimate depth of scenes.
for study case
Unofficial simplified implementation of Painter (2023 CVPR)
This repository contain code for Collision avoidance, Monocular and Stereo Depth Estimation
The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.
Fast cost volume post-processing for increased depth prediction in light-field imagery
YOLO-KITTI Detection, Depth Estimation and SLAM Integration
Reconstructing a depth map by from two DAVIS and a controlled laser.
Both Mocular depth and Segmentation from single DNN using Pytorch
Object Detection and depth EStimation. A deep learning course project.
Multi-Task Learning
Process (read and write) depth data, RGB images directly from inter realsense camera or .bag files.
Implementation of depth estimation with the MiDaS using Unity Barracuda.
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Implementation of Algorithms for estimating the defocus map from a single defocused image source using image processing techniques and mathematical modelling.
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