learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-70.27%)
adareg-monodispnetRepository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
Stars: ✭ 22 (-70.27%)
object nerfCode for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
Stars: ✭ 135 (+82.43%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-74.32%)
NeuralReconCode for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
Stars: ✭ 812 (+997.3%)
Tf flameTensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
Stars: ✭ 193 (+160.81%)
SSVIOGraduation Project: A point cloud semantic segmentation and VIO based 3D reconstruction method using RGB-D and IMU
Stars: ✭ 25 (-66.22%)
TailornetCode for our CVPR 2020 (ORAL) paper - TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style.
Stars: ✭ 180 (+143.24%)
DeodrA differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
Stars: ✭ 167 (+125.68%)
simple-sfmA readable implementation of structure-from-motion
Stars: ✭ 19 (-74.32%)
SltkAn OpenCV-based structured light processing toolkit.
Stars: ✭ 151 (+104.05%)
PENet ICRA2021ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
Stars: ✭ 256 (+245.95%)
Pixel2meshplusplusPixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
Stars: ✭ 188 (+154.05%)
MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Stars: ✭ 65 (-12.16%)
OpensfmOpen source Structure-from-Motion pipeline
Stars: ✭ 2,342 (+3064.86%)
maksMotion Averaging
Stars: ✭ 52 (-29.73%)
FlameFLaME: Fast Lightweight Mesh Estimation
Stars: ✭ 164 (+121.62%)
neureconMulti-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Stars: ✭ 697 (+841.89%)
SurfelwarpSurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction
Stars: ✭ 149 (+101.35%)
Ad CensusAD-Census立体匹配算法,中国学者Xing Mei等人研究成果(Respect!),算法效率高、效果出色,适合硬件加速,Intel RealSense D400 Stereo模块算法。完整实现,代码规范,注释清晰,欢迎star!
Stars: ✭ 145 (+95.95%)
Synthesize3dviadepthorsil[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
Stars: ✭ 141 (+90.54%)
DSP-SLAM[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
Stars: ✭ 377 (+409.46%)
LsmCode for Learnt Stereo Machines based on the NIPS 2017 paper
Stars: ✭ 233 (+214.86%)
MeshroommayaPhotomodeling plugin for Maya
Stars: ✭ 118 (+59.46%)
Portrait FCN and 3D ReconstructionThis project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.
Stars: ✭ 61 (-17.57%)
HorizonnetPytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.
Stars: ✭ 195 (+163.51%)
RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Stars: ✭ 69 (-6.76%)
global l0Global L0 algorithm for regularity-constrained plane fitting
Stars: ✭ 45 (-39.19%)
Gan2shapeCode for GAN2Shape (ICLR2021 oral)
Stars: ✭ 183 (+147.3%)
mvsnerf[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
Stars: ✭ 533 (+620.27%)
MeshlabThe open source mesh processing system
Stars: ✭ 2,619 (+3439.19%)
aistplusplus apiAPI to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset
Stars: ✭ 277 (+274.32%)
Factored3dCode release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
Stars: ✭ 170 (+129.73%)
relative poseA Collection of Algorithms for Relative Pose Estimation of a Calibrated Camera
Stars: ✭ 27 (-63.51%)
OanetImplementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
Stars: ✭ 166 (+124.32%)
Flame pytorchThis is a implementation of the 3D FLAME model in PyTorch
Stars: ✭ 153 (+106.76%)
NeuralPullImplementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Stars: ✭ 149 (+101.35%)
Prnet pytorchTraining & Inference Code of PRNet in PyTorch 1.1.0
Stars: ✭ 149 (+101.35%)
Genre ShapehdCode and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
Stars: ✭ 241 (+225.68%)
DrcCode release for "Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency" (CVPR 2017)
Stars: ✭ 147 (+98.65%)
generative poseCode for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Stars: ✭ 63 (-14.86%)
AlicevisionPhotogrammetric Computer Vision Framework
Stars: ✭ 2,029 (+2641.89%)
PcnCode for PCN: Point Completion Network in 3DV'18 (Oral)
Stars: ✭ 238 (+221.62%)
Obman train[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
Stars: ✭ 124 (+67.57%)
3D-Public-Transport-SimulatorThe 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.
Stars: ✭ 87 (+17.57%)
Structured3d[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Stars: ✭ 224 (+202.7%)
Openmvsopen Multi-View Stereo reconstruction library
Stars: ✭ 1,842 (+2389.19%)
Cnncomplete[CVPR'17] Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Stars: ✭ 117 (+58.11%)
findpeaksThe detection of peaks and valleys in a 1d-vector or 2d-array (image)
Stars: ✭ 121 (+63.51%)
PatchmatchstereoPatchMatch,倾斜窗口经典,效果极佳,OpenMVS&Colmap稠密匹配算法。完整实现,代码规范,注释清晰,博客教学,欢迎star!
Stars: ✭ 219 (+195.95%)
3d Recgan🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)
Stars: ✭ 116 (+56.76%)