fuy34's Stars
voxel51/fiftyone
The open-source tool for building high-quality datasets and computer vision models
fuy34/DFV
[CVPR'22] DFVDFF: Deep Depth from Focus with Differential Focus Volume
fuy34/indoorMVS
[Dissertation Ch4] Indoor Priors Inspired Multi-view Stereo Network
neu-vi/PlanarRecon
yanconglin/Deep-Hough-Transform-Line-Priors
Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)
manycore-research/faceformer
[CVPR 2022] Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
dvl-tum/defocus-net
Official PyTorch implementation of "Focus on Defocus" paper.
jaeheungs/rdf_depth_from_focus
Official implementation of depth from focus using the ring difference filter (RDF)
soyers/ddff-pytorch
Deep Depth from Focus implementation
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
zcoo/hough_transform
My implementation of hough transform of line and plane detection
Yang7879/3D-BoNet
š„3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
adrelino/variational-depth-from-focus
Implementation of "Variational Depth from Focus Reconstruction" [Moeller 2015]
magicleap/Atlas
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
cuilimeng/DETERRENT
shirgur/UnsupervisedDepthFromFocus
Single Image Depth Estimation Trained via Depth from Defocus Cues
dvlab-research/DSGN
DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
IntelRealSense/librealsense
IntelĀ® RealSenseā¢ SDK
sourishg/stereo-calibration
:camera: :camera: Stereo camera calibration using OpenCV and C++
fmannan/DFDRelBlur
Relative blur based Depth from Defocus (DFD)
marcelampc/d3net_depth_estimation
Dense Deep Depth Estimation Network (D3-Net) in PyTorch.
cdcseacave/openMVS
open Multi-View Stereo reconstruction library
pmoulon/CMVS-PMVS
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
xiaotili0123/Malware-detection-based-on-API-sequences
YoYo000/fusibile
Depthmap fusion with depth and normal consistency check
manhofer/Line3Dpp
Line3D++ - Multi-View Stereo using Line Segments
bertjiazheng/awesome-scene-understanding
š A list of awesome scene understanding papers.
uber-research/DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
tinghuiz/SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
davidstutz/superpixel-benchmark
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.