Pinned Repositories
AGFaceTracking
The Face tracking app demonstrates how ARKit allows us to work with front TrueDepth camera to identify faces and apply various effects using 3D graphics and texturing
ARKit-Invader
ARKit Invader is attacking!(ARKit 3 Sample Modules)
ARKit-Sampler
Code examples for ARKit.
ARKitBook
ARKitの実践入門書「実践ARKit」のサンプルコードです。
Awesome-ARKit
A curated list of awesome ARKit projects and resources. Feel free to contribute!
capio
Photo/Video ios app that gives full control over camera back to users
deep-3dmm-refinement
DepthBook
iOSのデプス（深度）の解説書「Depth in Depth」のサンプルコードです。
FaceStatistics
Aligns and averages face images and report statistics.
FaceSubstitution
Face substitution experiments using ofxFacetracker
masayakoshino's Repositories
masayakoshino/AGFaceTracking
The Face tracking app demonstrates how ARKit allows us to work with front TrueDepth camera to identify faces and apply various effects using 3D graphics and texturing
masayakoshino/ARKit-Invader
ARKit Invader is attacking!(ARKit 3 Sample Modules)
masayakoshino/ARKit-Sampler
Code examples for ARKit.
masayakoshino/ARKitBook
ARKitの実践入門書「実践ARKit」のサンプルコードです。
masayakoshino/Awesome-ARKit
A curated list of awesome ARKit projects and resources. Feel free to contribute!
masayakoshino/capio
Photo/Video ios app that gives full control over camera back to users
masayakoshino/deep-3dmm-refinement
masayakoshino/DepthBook
iOSのデプス（深度）の解説書「Depth in Depth」のサンプルコードです。
masayakoshino/FaceStatistics
Aligns and averages face images and report statistics.
masayakoshino/FaceSubstitution
Face substitution experiments using ofxFacetracker
masayakoshino/headshot
Sample iOS AR app that demonstrates how to capture the texture of a user's face in realtime
masayakoshino/iCimulator
Simulate camera functions on iOS Simulator with images, videos, or your MacBook Camera.
masayakoshino/iOS-Depth-Sampler
Code examples for Depth APIs in iOS
masayakoshino/iOS-Experiments-Contents
Table of Contents of my repo "iOS-Experiments"
masayakoshino/jukebox
Code for "Jukebox: A Generative Model for Music"
masayakoshino/mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
masayakoshino/MetalBook
「Metal入門」のサンプルコードです。
masayakoshino/MLModelCamera
A camera app to test .mlmodel files.
masayakoshino/multi-cam
iOS App : Take Multi Videos With AVCaptureMultiCamSession
masayakoshino/nerf
Code release for NeRF (Neural Radiance Fields)
masayakoshino/neural_renderer
Code for the paper "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
masayakoshino/ofxFaceTracker
CLM face tracking addon for openFrameworks based on Jason Saragih's FaceTracker.
masayakoshino/ofxFaceTracker-iOS
Example of using ofxFaceTracker on iOS.
masayakoshino/ofxPointInMesh
An openFrameworks addon to check if a 3D point is inside an ofMesh
masayakoshino/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
masayakoshino/StayingTokyo
Codes and tools for StayingTokyo
masayakoshino/UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
masayakoshino/UGATIT-pytorch
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
masayakoshino/WB_color_augmenter
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
masayakoshino/WB_sRGB
White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]