102 Repositories
Python Stereo-Waterdrop-Removal Libraries
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[CVPR 2022] Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation This repository contains MegEngine implementation of ou
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
E2FGVI (CVPR 2022) English | 简体中文 This repository contains the official implementation of the following paper: Towards An End-to-End Framework for Flo
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est
Point-NeRF: Point-based Neural Radiance Fields
Point-NeRF: Point-based Neural Radiance Fields Project Sites | Paper | Primary c
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once (YOCO) YOCO is a simple method/strategy of performing augmenta
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
idn-solver Paper | Project Page This repository contains the code release of our ICCV 2021 paper: A Confidence-based Iterative Solver of Depths and Su
Haze Removal can remove slight to extreme cases of haze affecting an image
Haze Removal can remove slight to extreme cases of haze affecting an image. Its most typical use is for landscape photography where the haze causes low contrast and low saturation, but it can also be used to improve images taken during rainy and foggy conditions.
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans
Self-Supervised Methods for Noise-Removal
SSMNR | Self-Supervised Methods for Noise Removal Image denoising is the task of removing noise from an image, which can be formulated as the task of
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions Project Page | Paper If you find our work useful for your research, please con
A python library for time-series smoothing and outlier detection in a vectorized way.
tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. Overview tsmoothie computes, in a fast and efficient w
Cvdl-hw2 - Find Contour, Camera Calibration, Augmented Reality and Stereo Disparity Map
opevcvdl-hw2 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1
code of paper „Unknown Object Segmentation from Stereo Images“, IROS 2021
Unknown Object Segmentation from Stereo Images Unknown Object Segmentation from Stereo Images Maximilian Durner*, Wout Boerdijk*, Martin Sundermeyer,
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020)
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020) Hong Wang, Qi Xie, Qian Zhao, and Deyu Meng [PDF] [Supplementary M
This repo uses a stereo camera and gray-code-based structured light to realize dense 3D reconstruction.
Structured-light-stereo This repo uses a stereo camera and gray-code-based structured light to realize dense 3D reconstruction. . How to use: STEP 1:
Algorithm to texture 3D reconstructions from multi-view stereo images
MVS-Texturing Welcome to our project that textures 3D reconstructions from images. This project focuses on 3D reconstructions generated using structur
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo Lukas Koestler1* Nan Yang1,2*,† Niclas Zeller2,3 Daniel Cremers1
Virtual Dance Reality Stage: a feature that offers you to share a stage with another user virtually
Portrait Segmentation using Tensorflow This script removes the background from an input image. You can read more about segmentation here Setup The scr
Official code of IterMVS
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
Existing Literature about Machine Unlearning
Machine Unlearning Papers 2021 Brophy and Lowd. Machine Unlearning for Random Forests. In ICML 2021. Bourtoule et al. Machine Unlearning. In IEEE Symp
Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"
Patch-wise Adversarial Removal Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-
Deep learning model for EEG artifact removal
DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks Contributions A novel pairwise feature LSP to extract structural
The source code of "SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation", accepted to WACV 2022.
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation The source code of our work "SIDE: Center-based Stereo 3D Detecto
🍀🍀🍀The official implementation code of "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction."
PlantStereo This is the official implementation code for the paper "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction".
✨✨✨An awesome open source toolbox for stereo matching.
OpenStereo This is an awesome open source toolbox for stereo matching. Supported Methods: BM SGM(T-PAMI'07) GCNet(ICCV'17) PSMNet(CVPR'18) StereoNet(E
The official implementation code of "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction."
PlantStereo This is the official implementation code for the paper "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction".
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ORB-SLAM2 Authors: Raul Mur-Artal, Juan D. Tardos, J. M. M. Montiel and Dorian Galvez-Lopez (DBoW2) 13 Jan 2017: OpenCV 3 and Eigen 3.3 are now suppor
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation (Accepted by BMVC'21) Abstract: Images acquir
Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.
TFLite-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite. Stereo depth estimati
Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX
ONNX-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX Stereo depth estimation on the cone
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
ApproxMVBB Status Build UnitTests Homepage Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in
Pytorch reimplementation of PSM-Net: "Pyramid Stereo Matching Network"
This is a Pytorch Lightning version PSMNet which is based on JiaRenChang/PSMNet. use python main.py to start training. PSM-Net Pytorch reimplementatio
COLMAP - Structure-from-Motion and Multi-View Stereo
COLMAP About COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface.
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network [Paper Link] [Project Page] He Zhang, Vishwanath Sindagi, Vishal M. Patel In this
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
Invertible Image Denoising This is the PyTorch implementation of paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR 20
Multi View Stereo on Internet Images
Evaluating MVS in a CPC Scenario This repository contains the set of artficats used for the ENGN8601/8602 research project. The thesis emphasizes on t
Python functions to run WASS stereo wave processing executables, and load and post process WASS output files.
wass-pyfuns Python functions to run the WASS stereo wave processing executables, and load and post process the WASS output files. General WASS (Waves
MPRNet-Cloud-removal: Progressive cloud removal
MPRNet-Cloud-removal Progressive cloud removal Requirements 1.Pytorch = 1.0 2.Python 3 3.NVIDIA GPU + CUDA 9.0 4.Tensorboard Installation 1.Clone the
Honours project, on creating a depth estimation map from two stereo images of featureless regions
image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e
Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021).
AA-RMVSNet Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021) in PyTorch. paper link: arXiv | CVF Change Log Ju
A python implementation of the Basic Photometric Stereo Algorithm
Photometric-Stereo A python implementation of the Basic Photometric Stereo Algorithm Result Usage run Photometric_Stereo.py Code Tree |data #原始数据,tga格
Project code for weakly supervised 3D object detectors using wide-baseline multi-view traffic camera data: WIBAM.
WIBAM (Work in progress) Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data 3D object dete
BackgroundRemover lets you Remove Background from images and video with a simple command line interface
BackgroundRemover BackgroundRemover is a command line tool to remove background from video and image, made by nadermx to power https://BackgroundRemov
Hardware-accelerated ROS2 packages for camera image processing.
Isaac ROS Image Pipeline Overview This metapackage offers similar functionality as the standard, CPU-based image_pipeline metapackage, but does so by
A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku.
Automatic_Background_Remover A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku. 👉 https:
Code for the paper "Location-aware Single Image Reflection Removal"
Location-aware Single Image Reflection Removal The shown images are provided by the datasets from IBCLN, ERRNet, SIR2 and the Internet images. The cod
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet)
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (
4K videos with annotated masks in our ICCV2021 paper 'Internal Video Inpainting by Implicit Long-range Propagation'.
Annotated 4K Videos paper | project website | code | demo video 4K videos with annotated object masks in our ICCV2021 paper: Internal Video Inpainting
This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning"
CSP_Deep_EEG This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning" {https://www
This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider
SBEVNet: End-to-End Deep Stereo Layout Estimation This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by D
Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.
Semi-supervised Transfer Learning for Image Rain Removal This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima
Python implementation of "Single Image Haze Removal Using Dark Channel Prior"
##Dependencies pillow(~2.6.0) Numpy(~1.9.0) If the scripts throw AttributeError: __float__, make sure your pillow has jpeg support e.g. try: $ sudo ap
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception, IROS 2021
For academic use only. Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception Ziwei Wang, Liyuan Pan, Yonhon Ng, Zheyu Zhuang and Robert Mahony Th
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021) Jiaxi Jiang, Kai Zhang, Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland 🔥
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
EPCDepth EPCDepth is a self-supervised monocular depth estimation model, whose supervision is coming from the other image in a stereo pair. Details ar
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Multilingual Latent Dirichlet Allocation (LDA) Pipeline This project is for text clustering using the Latent Dirichlet Allocation (LDA) algorithm. It
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching This repository contains the source code for our paper: RAFT-Stereo: Multilevel
Python scripts form performing stereo depth estimation using the HITNET model in ONNX.
ONNX-HITNET-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in ONNX. Stereo depth estimation on
Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.
TFLite-HITNET-Stereo-depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite. Stereo depth e
Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .
PyTorch-High-Res-Stereo-Depth-Estimation Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch. Stereo dep
Python scripts form performing stereo depth estimation using the CoEx model in ONNX.
ONNX-CoEx-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the CoEx model in ONNX. Stereo depth estimation on the
Lightweight stereo matching network based on MobileNetV1 and MobileNetV2
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.
HITNET-Stereo-Depth-estimation Python scripts for performing stereo depth estimation using the HITNET Tensorflow model from Google Research. Stereo de
[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
NerfingMVS Project Page | Paper | Video | Data NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo Yi Wei, Shaohui
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN).
arXiv, porject page, paper Blind Image Decomposition (BID) Blind Image Decomposition is a novel task. The task requires separating a superimposed imag
This repository contains the code and models for the following paper.
DC-ShadowNet Introduction This is an implementation of the following paper DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised
A curated list of resources for Image and Video Deblurring
A curated list of resources for Image and Video Deblurring
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
LiDAR fog simulation Created by Martin Hahner at the Computer Vision Lab of ETH Zurich. This is the official code release of the paper Fog Simulation
Code for LIGA-Stereo Detector, ICCV'21
LIGA-Stereo Introduction This is the official implementation of the paper LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based
a decompilation of NAP36 the widevine removal software for amz and nf used by p2p groups until it stoped working due to it using expired cdm keys
NAP36 a decompilation of NAP36 the widevine removal software for amz and nf used by p2p groups until it stoped working due to it useing expired cdm ke
Official code for "Stereo Waterdrop Removal with Row-wise Dilated Attention (IROS2021)"
Stereo-Waterdrop-Removal-with-Row-wise-Dilated-Attention This repository includes official codes for "Stereo Waterdrop Removal with Row-wise Dilated A
Code for "Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo"
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo This repository includes the source code for our CVPR 2021 paper on multi-view mult
Implementation for our ICCV2021 paper: Internal Video Inpainting by Implicit Long-range Propagation
Implicit Internal Video Inpainting Implementation for our ICCV2021 paper: Internal Video Inpainting by Implicit Long-range Propagation paper | project
Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
Auto-exposure fusion for single-image shadow removal We propose a new method for effective shadow removal by regarding it as an exposure fusion proble
Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan
SMD-Nets: Stereo Mixture Density Networks
SMD-Nets: Stereo Mixture Density Networks This repository contains a Pytorch implementation of "SMD-Nets: Stereo Mixture Density Networks" (CVPR 2021)
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching(CVPR2021)
CFNet(CVPR 2021) This is the implementation of the paper CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching, CVPR 2021, Zhelun Shen, Yuch
【CVPR 2021, Variational Inference Framework, PyTorch】 From Rain Generation to Rain Removal
From Rain Generation to Rain Removal (CVPR2021) Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, and Deyu Meng [PDF&&Supplementary Material]
Code release of paper "Deep Multi-View Stereo gone wild"
Deep MVS gone wild Pytorch implementation of "Deep MVS gone wild" (Paper | website) This repository provides the code to reproduce the experiments of
Stacked Recurrent Hourglass Network for Stereo Matching
SRH-Net: Stacked Recurrent Hourglass Introduction This repository is supplementary material of our RA-L submission, which helps reviewers to understan
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process.
Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"
Self-Supervised-MVS This repository is the official PyTorch implementation of our AAAI 2021 paper: "Self-supervised Multi-view Stereo via Effective Co
Python and C++ implementation of "MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation". Accepted at LXCV @ CVPR 2021.
MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation This is a PyTorch and LibTorch implementation of MarkerPose: a
the code for our CVPR 2021 paper Bilateral Grid Learning for Stereo Matching Network [BGNet]
BGNet This repository contains the code for our CVPR 2021 paper Bilateral Grid Learning for Stereo Matching Network [BGNet] Environment Python 3.6.* C
This repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision | Project Page | Paper | This repository contains a pytorch implementation of "St
(NeurIPS 2020) Wasserstein Distances for Stereo Disparity Estimation
Wasserstein Distances for Stereo Disparity Estimation Accepted in NeurIPS 2020 as Spotlight. [Project Page] Wasserstein Distances for Stereo Disparity
《Single Image Reflection Removal Beyond Linearity》(CVPR 2019)
Single-Image-Reflection-Removal-Beyond-Linearity Paper Single Image Reflection Removal Beyond Linearity. Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, G
Planar Prior Assisted PatchMatch Multi-View Stereo
ACMP [News] The code for ACMH is released!!! [News] The code for ACMM is released!!! About This repository contains the code for the paper Planar Prio
Multi-Scale Geometric Consistency Guided Multi-View Stereo
ACMM [News] The code for ACMH is released!!! [News] The code for ACMP is released!!! About ACMM is a multi-scale geometric consistency guided multi-vi
Rembg is a tool to remove images background.
Rembg is a tool to remove images background.
Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"
Robust Reflection Removal with Reflection-free Flash-only Cues (RFC) Paper | To be released: Project Page | Video | Data Tensorflow implementation for
3D Reconstruction Software
Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision Photogrammetric Computer Vision framework. Learn more details abou
Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue+, IEEE TCSVT 2020].
Learning from Synthetic Shadows for Shadow Detection and Removal (IEEE TCSVT 2020) Overview This repo is for the paper "Learning from Synthetic Shadow
Find dead Python code
Vulture - Find dead code Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you r