建设网站的主要流程有哪些,网站网址查询ip,游戏攻略网站开发,手机可以做app的软件Dual Pixel 简介
双像素是成像系统的感光元器件中单帧同时生成的图像#xff1a;通过双像素可以实现#xff1a;深度估计、图像去模糊去雨去雾恢复、图像重建
成像原理来源如上#xff0c;也有遮罩等方式的pd生成#xff0c;如图双像素视图可以看到光圈的不同一半#x…Dual Pixel 简介
双像素是成像系统的感光元器件中单帧同时生成的图像通过双像素可以实现深度估计、图像去模糊去雨去雾恢复、图像重建
成像原理来源如上也有遮罩等方式的pd生成如图双像素视图可以看到光圈的不同一半这提供了一个深度提示。然而由于基本的模糊性如果相机的焦距或光圈大小或焦距发生变化不同的场景可能会产生相同的双像素图像。在a中具有焦距g1的相机在距离Z1处成像聚焦的蓝色点和离焦的橙色点。通过光圈左半部分折射的光深蓝色和橙色光线到达每个双像素的右半部分反之亦然。这导致了一个双像素图像其中失焦橙色点被d像素a“DP数据”位移被b像素模糊a”图像”。在b中不同的焦距和场景深度集产生相同的双像素和RGB图像。然而如文中所示该场景通过逆深度上的仿射变换与a中的场景相关。消费者迅速采用。双像素相机似乎代表了更雄心勃勃的光场相机和传统相机之间的一种有前景的折衷方案——DP相机牺牲了可忽略的空间分辨率来采样光场中的两个角度而真正的单眼相机只采样一个角度Lytro Illum等光场相机以牺牲显著的空间分辨率为代价采样196个角度。因此它们在消费类相机和内窥镜等空间受限的应用中得到了更广泛的采用[6]。
消费类硬件的最新发展可能为深度估计的新方法提供机会。最近通过使用密集的双像素DP传感器图2可以使用一台相机同时捕获两张类似于具有微小基线的立体对的图像图1。虽然这项技术最初是为相机自动对焦而开发的但双像素图像也可以用来从单个相机中恢复密集的深度图从而消除了对额外硬件、校准或同步的任何需求。例如Wadhwa等人[55]使用经典的立体技术块匹配和边缘感知平滑从DP数据中恢复深度。但如图1所示传统立体技术可以生成的深度图的质量是有限的因为DP图像中视差和焦点之间的相互作用可能会导致经典立体匹配技术失败。现有的基于单眼学习的技术在这方面也表现不佳 接下来就介绍双像素相关的sota论文和代码长期更新教学
Table of contents
DualPixelDateset
Dual Pixel YearPubPaperAppRepo2018SIGGRAPHSynthetic Depth-of-Field with a Single-Camera Mobile PhoneDepth / Segmenation / Synthetic DoF2019CVPRReflection Removal Using a Dual-Pixel SensorReflection RemovalCode2019ICCVLearning Single Camera Depth Estimation using Dual-PixelsDepthCode Dataset2020ICCPModeling Defocus-Disparity in Dual-Pixel SensorsDepthCode Dataset2020CVPRLearning to AutofocusAutofocusDataset2020ECCVDu2Net: Learning Depth Estimation from Dual-Cameras and Dual-PixelsDisparity (w/Stereo)2020ECCVDefocus Deblurring Using Dual-Pixel DataDeblurCode Dataset2021CVPRDual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationDepth / DeblurCode Dataset2021CVPRWNTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and ResultsDeblur2021CVPRWATTSF Attention! Stay Focus!DeblurCode2021ICCVDefocus Map Estimation and Deblurring From a Single Dual-Pixel ImageDeblur / Defocus MapCode Dataset2021ICCVLearning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel DataDeblurCode Dataset2021IEEEWorld Largest Mobile Image Sensor with All Directional Phase Detection Auto Focus FunctionDepth2021ICTCDisparity probability volume guided defocus deblurring using dual pixel dataDeblur2021Journal of Electronic ImagingDefocus deblurring: a designed deep model based on CNNDeblur2021IEEEAll-Directional Dual Pixel Auto Focus Technology in CMOS Image SensorsCircuits2022WACVImproving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task LearningDeblurCode Dataset2022ISSCCA 1/1.57-inch 50Mpixel CMOS Image Sensor With 1.0μm All-Directional Dual Pixel by 0.5μm-Pitch Full-Depth Deep-Trench Isolation TechnologyCircuits2022ECCVFacial Depth and Normal Estimation using Single Dual-Pixel CameraDepth / Surface Normal / Anti-spoofing / RelightingCode Dataset2023CVPRK3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus DeblurringDeblur2023CVPRSpatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel ImageDepth / DisparityCode2023ICCPLearning to Synthesize Photorealistic Dual-pixel Images from RGBD framesSimulatorCode Dataset2023ICCVExploring Positional Characteristics of Dual-Pixel Data for Camera AutofocusAutofocus
这其中
2019ICCVLearning Single Camera Depth Estimation using Dual-PixelsDepth 网络的代码被复现在DualPixelFace/src at main · MinJunKang/DualPixelFace · GitHub GitHub - vyi/PdCapture: [google-research/dual-pixels](Forked from https://github.com/google-research/google-research/tree/master/dual_pixels)
GitHub - RugvedKatole/Learning-Single-Camera-Depth-Estimation-using-Dual-Pixels: This Repo is an implementation of paper titled Learning Single Camera Depth Estimation using Dual-Pixels
Dataset
YearPubPaperDetail2019ICCVLearning Single Camera Depth Estimation using Dual-PixelsTrain:2506, Test:684, Res:1512x2016(DP), 16bit png, DP Raw / Depth2020ICCPModeling Defocus-Disparity in Dual-Pixel SensorsNum:100, Res:5180x2940, RGB 8bit jpg / 16bit tif Depth, DP LR / Depth2020ECCVDefocus Deblurring Using Dual-Pixel DataNum:500, Res:1680x1120, 16bit, Used for NTIRE 2021 Challenge (CVPRW)2021CVPRDual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationDP Simulator from NYUD Dataset2021ICCVLearning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel DataDP Simulator form SYNTHIA-SF dataset2023ICCPLearning to Synthesize Photorealistic Dual-pixel Images from RGBD framesNum:5130, Res:1680x1120, RGB(DP LRC) 8bit png / Depth 16bit png 小结
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