learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-76.84%)
NeuralReconCode for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
Stars: ✭ 812 (+754.74%)
adareg-monodispnetRepository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
Stars: ✭ 22 (-76.84%)
generative poseCode for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
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pais-mvsMulti-view stereo image-based 3D reconstruction
Stars: ✭ 55 (-42.11%)
SimpleViewOfficial Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Stars: ✭ 95 (+0%)
DE resnet unet hybDepth estimation from RGB images using fully convolutional neural networks.
Stars: ✭ 40 (-57.89%)
CV LearningProjects related to computer vision and image processing.
Stars: ✭ 20 (-78.95%)
RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Stars: ✭ 69 (-27.37%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (-9.47%)
OMG Depth FusionProbabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
Stars: ✭ 52 (-45.26%)
project-defudeRefocus an image just by clicking on it with no additional data
Stars: ✭ 69 (-27.37%)
Monodepth2[ICCV 2019] Monocular depth estimation from a single image
Stars: ✭ 2,714 (+2756.84%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-80%)
Trending-in-3D-VisionAn on-going paper list on new trends in 3D vision with deep learning
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seq2singleVisual place recognition from opposing viewpoints under extreme appearance variations
Stars: ✭ 15 (-84.21%)
CurveNetOfficial implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
Stars: ✭ 94 (-1.05%)
void-datasetVisual Odometry with Inertial and Depth (VOID) dataset
Stars: ✭ 74 (-22.11%)
LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Stars: ✭ 149 (+56.84%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-31.58%)
monodepthPython ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"
Stars: ✭ 41 (-56.84%)
MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Stars: ✭ 65 (-31.58%)
DeepI2PDeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Stars: ✭ 130 (+36.84%)
Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
Stars: ✭ 98 (+3.16%)
FrameNetFrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
Stars: ✭ 115 (+21.05%)
DiverseDepthThe code and data of DiverseDepth
Stars: ✭ 150 (+57.89%)
All4DepthSelf-Supervised Depth Estimation on Monocular Sequences
Stars: ✭ 58 (-38.95%)
DSGNDSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
Stars: ✭ 276 (+190.53%)
SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Stars: ✭ 162 (+70.53%)
MinkLoc3DMinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Stars: ✭ 83 (-12.63%)
label-fusionVolumetric Fusion of Multiple Semantic Labels and Masks
Stars: ✭ 18 (-81.05%)
M4DepthOfficial implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
Stars: ✭ 62 (-34.74%)
lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
Stars: ✭ 37 (-61.05%)
EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Stars: ✭ 105 (+10.53%)
EgoNetOfficial project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (+16.84%)
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 (-40%)
object nerfCode for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
Stars: ✭ 135 (+42.11%)
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Stars: ✭ 114 (+20%)
snarfOfficial code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
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LoFTRCode for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
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EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Stars: ✭ 27 (-71.58%)
Depth estimationDeep learning model to estimate the depth of image.
Stars: ✭ 62 (-34.74%)
Rel3DOfficial code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
Stars: ✭ 24 (-74.74%)
RefRESHCreate RefRESH data: dataset tools for Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)
Stars: ✭ 51 (-46.32%)
tf-monodepth2Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"
Stars: ✭ 75 (-21.05%)
Indoor-SfMLearner[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Stars: ✭ 115 (+21.05%)