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convolutional-neural-networks x

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4 search results found

Deeptam ⭐ 174

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhou

Continuouscrf Cnn ⭐ 137

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)

Depth Estimation Using Cnn ⭐ 111

Simple depth maps obtained by using CNN

Cnn_depth_tensorflow ⭐ 108

depth estimation using tensorflow

Sphericalviewsynthesis ⭐ 83

Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019

Fusiondepth ⭐ 57

Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.

De_resnet_unet_hyb ⭐ 41

Depth estimation from RGB images using fully convolutional neural networks.

Monodepth360 ⭐ 39

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

Rm Depth ⭐ 36

RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes, CVPR 2022

Dual Cnn Models For Unsupervised Monocular Depth Estimation ⭐ 34

Dual CNN Models for Unsupervised Monocular Depth Estimation

Aifdepthnet ⭐ 19

Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"

Depth_estimation_with_densenet Unet_hybrid ⭐ 11

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

Mscnns For Monocular Depth Estimation ⭐ 8

MSCNNS is a CNN-based approach for monocular depth estimation implemented by pytorch.

Stereo Image Generation ⭐ 7

This repository contains code to generate stereo (Side by side) image from a single image.

Tf_lstm_depth ⭐ 5

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures

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