Official respository for "Modeling Defocus-Disparity in Dual-Pixel Sensors", ICCP 2020

Overview

Official respository for "Modeling Defocus-Disparity in Dual-Pixel Sensors", ICCP 2020

BibTeX

@INPROCEEDINGS{punnappurath2020modeling,
   author={Abhijith Punnappurath and Abdullah Abuolaim and Mahmoud Afifi and Michael S. Brown},
   booktitle={IEEE International Conference on Computational Photography (ICCP)}, 
   title={Modeling Defocus-Disparity in Dual-Pixel Sensors}, 
   year={2020}
}

How to run

  • This is the code for the optimization-based approach described in Section 4.1 of our paper. The implementation is in Matlab.
  • The post-process edge-aware filtering described in Section 4.3 consists of a bilateral solver and a guided filter. Official implementations released by the authors have been used - the bilateral solver is in Python and the guided filter in Matlab.
  • To obtain our final result, run Steps 1, 2, and 3 sequentially, where Step 1 is the main optimization, and Steps 2 and 3 are the post-process bilateral solver and guided filter, respectively.
  • The data corresponding to Fig. 7 of our paper can be found here, and Figs. 1 and 8 can be found here.
  • Running the code as is produces our result in Fig. 8(f) third column.
  • Other outputs can be generated by appropriately setting the input image path here in Step 1, and here and here in Steps 2 and 3, respectively.
    • The img_name variable to use for Steps 2 and 3 will be displayed when Step 1 finishes execution.
  • Note that the optimization-based approach is very slow since it requires minimizing our cost function of equation (7) at each window.
  • Evaluation code can be found here

Dataset

  • Download our dataset used for evaluation in Section 5.4 here.
    • All results in Table 1 were reported on 16-bit uncompressed TIFF images. The dataset shared on the link above contains 8-bit JPEG images (for file size considerations). Results may vary slightly.

Video spotlight

  • Watch the YouTube video here

Visualization of our parameterized dual-pixel kernel of equation 6

DP gif

Also check out

Owner
Abhijith Punnappurath
Abhijith Punnappurath
Automatic packaging of the open-composite libs for OvGME

OvGME Packager for OpenXR – OpenComposite for DCS Note This repository is currently unsupported and needs to be migrated to the upstream OpenComposite

12 Nov 03, 2022
95.47% on CIFAR10 with PyTorch

Train CIFAR10 with PyTorch I'm playing with PyTorch on the CIFAR10 dataset. Prerequisites Python 3.6+ PyTorch 1.0+ Training # Start training with: py

5k Dec 30, 2022
ELSED: Enhanced Line SEgment Drawing

ELSED: Enhanced Line SEgment Drawing This repository contains the source code of ELSED: Enhanced Line SEgment Drawing the fastest line segment detecto

Iago Suárez 125 Dec 31, 2022
E-RAFT: Dense Optical Flow from Event Cameras

E-RAFT: Dense Optical Flow from Event Cameras This is the code for the paper E-RAFT: Dense Optical Flow from Event Cameras by Mathias Gehrig, Mario Mi

Robotics and Perception Group 71 Dec 12, 2022
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De

6 Dec 15, 2022
Unofficial PyTorch Implementation of AHDRNet (CVPR 2019)

AHDRNet-PyTorch This is the PyTorch implementation of Attention-guided Network for Ghost-free High Dynamic Range Imaging (CVPR 2019). The official cod

Yutong Zhang 4 Sep 08, 2022
PyTorch implementation of PP-LCNet: A Lightweight CPU Convolutional Neural Network

PyTorch implementation of PP-LCNet Reproduction of PP-LCNet architecture as described in PP-LCNet: A Lightweight CPU Convolutional Neural Network by C

Quan Nguyen (Fly) 47 Nov 02, 2022
Deep Learning for Time Series Classification

Deep Learning for Time Series Classification This is the companion repository for our paper titled "Deep learning for time series classification: a re

Hassan ISMAIL FAWAZ 1.2k Jan 02, 2023
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

20.5k Jan 08, 2023
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Bae, Gwangbin 95 Jan 04, 2023
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

1.1k Jan 03, 2023
Detecting drunk people through thermal images using Deep Learning (CNN)

Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab

Giacomo Ferretti 3 Oct 27, 2022
TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1).

M1-tensorflow-benchmark TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1). I was initially testing if Tens

particle 2 Jan 05, 2022
"SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image [Paper] [Website] Pipeline Code Environment pip install -r requirements

VITA 250 Jan 05, 2023
Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.

Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was

Rishikesh A. Bondade 2 May 13, 2022
网络协议2天集训

网络协议2天集训 抓包工具安装 Wireshark wireshark下载地址 Tcpdump CentOS yum install tcpdump -y Ubuntu apt-get install tcpdump -y k8s抓包测试环境 查看虚拟网卡veth pair 查看

120 Dec 12, 2022
An experiment to bait a generalized frontrunning MEV bot

Honeypot 🍯 A simple experiment that: Creates a honeypot contract Baits a generalized fronturnning bot with a unique transaction Analyze bot behaviour

0x1355 14 Nov 24, 2022
This tool uses Deep Learning to help you draw and write with your hand and webcam.

This tool uses Deep Learning to help you draw and write with your hand and webcam. A Deep Learning model is used to try to predict whether you want to have 'pencil up' or 'pencil down'.

lmagne 169 Dec 10, 2022
Contrastive Loss Gradient Attack (CLGA)

Contrastive Loss Gradient Attack (CLGA) Official implementation of Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22 Bu

12 Dec 23, 2022
2021:"Bridging Global Context Interactions for High-Fidelity Image Completion"

TFill arXiv | Project This repository implements the training, testing and editing tools for "Bridging Global Context Interactions for High-Fidelity I

Chuanxia Zheng 111 Jan 08, 2023