hyunynim Goto Github PK
Name: Honghyun Ahn
Type: User
Company: Seoul National University of Science and Technology
Bio: SW Engineer
Location: Seoul, Korea
Honghyun Ahn's Projects
-18-1-object-oriented-programming
18_2_multimediaprogramming
2019pl
algorithm
algorithm2019
algorithm_2021
Algorithm study 2021
algorithm_archive
Let's start again
algorithm_study
BOJ_Algorithm_Study
asirra-dogs-cats-classification
Asirra Dogs vs. Cats Classification with AlexNet
awesome-image-translation
A collection of awesome resources image-to-image translation.
awesome-neural-rendering
A collection of resources on neural rendering.
capstone_attendancemanagementsystem
16101384 Minh Tu 응웬민뚜 + 17101222 안홍현의 졸업작품
chopsticks
cvpr2020-sdfdiff
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
dcgan
deep-learning-models
Keras code and weights files for popular deep learning models.
differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
dist-renderer
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
dlib
dlib practice
dogfacedetection
dss
Differentiable Surface Splatting
face_recognition
The world's simplest facial recognition api for Python and the command line
facerecognition
2020 Capstone design
facerecognitionweb
gatsby-starter-bee
🐝Full Package | Simple | Fresh UI | Blog Template :: Let's start to blogging with gatsby-starter-bee!
genre-shapehd
Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
google-images-download
Google/Bing Images Web Downloader
granadoespadahelper
Practice OpenCV
hustoj
Popular Open Source Online Judge based on PHP/C++/MySQL/Linux for ACM/ICPC and NOIP training, with easy installation. 开源OJ系统
im-net
The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
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