SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Stars: ✭ 162 (+8%)
rectified-features[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching
Stars: ✭ 57 (-62%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-86.67%)
EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Stars: ✭ 105 (-30%)
Depth estimationDeep learning model to estimate the depth of image.
Stars: ✭ 62 (-58.67%)
adareg-monodispnetRepository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
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pais-mvsMulti-view stereo image-based 3D reconstruction
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DSGNDSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
Stars: ✭ 276 (+84%)
ForeSeETask-Aware Monocular Depth Estimation for 3D Object Detection, AAAI2020
Stars: ✭ 58 (-61.33%)
MVSNet plMVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
Stars: ✭ 49 (-67.33%)
MonoDEVSNetOfficial PyTorch implementation of MonoDEVSNet - "Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision."
Stars: ✭ 34 (-77.33%)
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Stars: ✭ 114 (-24%)
All4DepthSelf-Supervised Depth Estimation on Monocular Sequences
Stars: ✭ 58 (-61.33%)
EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Stars: ✭ 27 (-82%)
tf-monodepth2Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"
Stars: ✭ 75 (-50%)
monodepthPython ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"
Stars: ✭ 41 (-72.67%)
ReversingCode for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"
Stars: ✭ 43 (-71.33%)
Monodepth2[ICCV 2019] Monocular depth estimation from a single image
Stars: ✭ 2,714 (+1709.33%)
learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-85.33%)
M4DepthOfficial implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
Stars: ✭ 62 (-58.67%)
seq2singleVisual place recognition from opposing viewpoints under extreme appearance variations
Stars: ✭ 15 (-90%)
DE resnet unet hybDepth estimation from RGB images using fully convolutional neural networks.
Stars: ✭ 40 (-73.33%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-56.67%)
Indoor-SfMLearner[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Stars: ✭ 115 (-23.33%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (-42.67%)
OMG Depth FusionProbabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
Stars: ✭ 52 (-65.33%)
Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
Stars: ✭ 98 (-34.67%)
project-defudeRefocus an image just by clicking on it with no additional data
Stars: ✭ 69 (-54%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+1007.33%)
CSPN monodepthUnofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
Stars: ✭ 66 (-56%)