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Hi๐Ÿ‘‹ I'm donguk

Welcome to my profile! This is an overview of my activities. You can see what I did and what I'm planning to do. My major interest lies in the field of 3D Computer Vision. Recently, I am deeply diving into the few-shot NeRF research. If you have any questions for our lab or me, please feel free to contact me through email.

Introduction

I'm studying Computer Vision, DeepLearning and Graphics in VIPlab

If you want more detail you can check my CV here. And also you can visit my techblog

Expierence overview

  • ๐Ÿ“šDistortion-free SVM generation for boat using UE5 and our synthetic dataset(with Avikus,๐Ÿฅˆ 2nd)[github]
  • ๐Ÿ“šGreedot : Creating meta charactor from child drawings(๐ŸŽ–๏ธ 1st)[github,SKT Fly Ai]
  • ๐Ÿ“šCoverist: Book Cover Generator service (๐Ÿฅ‰ 3rd) [pdf,github]
  • ๐Ÿ†Competiton for OCR signage image recognition (๐ŸŽ–๏ธ 1st : Minister's Award)
  • ๐Ÿ“šVR : Boat driving simulation with UE5
  • ๐Ÿ“šAR : Three.js with Mediapipe(getting mesh from face, Real time rigging avater)github
  • ๐Ÿ“„Paper : Synthesized training data for a ship 3D surrounding view learning model based on user evalutions link(1st author)

Education

  • Unist : MS candidate in VIPlab (24.03~)
  • Qualcomm Institute,UCSD : International colaborate Research Intern (23.07~23.08)
  • Kwangwoon Univ : BS candidate in DIGlab(21.07~24.02)

Tech Stack

๐Ÿ’ชStrong

๐Ÿฅš Knowledgeable

๐Ÿ›  Tools

donguk's Projects

ai-tech-interview icon ai-tech-interview

๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป AI ์—”์ง€๋‹ˆ์–ด ๊ธฐ์ˆ  ๋ฉด์ ‘ ์Šคํ„ฐ๋””

blendpokemon icon blendpokemon

project using image SuperResolution , inpainting, segmentation

coverist-android icon coverist-android

์ปค๋ฒ„๋ฆฌ์ŠคํŠธ - ๋ถ ์ปค๋ฒ„ ์ƒ์„ฑ AI ์„œ๋น„์Šค

standalone-deeplearning icon standalone-deeplearning

2019 KAIST ๋”ฅ๋Ÿฌ๋‹ ํ™€๋กœ์„œ๊ธฐ ์„ธ๋ฏธ๋‚˜์šฉ ์ €์žฅ์†Œ์ž…๋‹ˆ๋‹ค.

unist icon unist

์œ ๋‹ˆ์ŠคํŠธ ์ž๋ฃŒ

web3d icon web3d

learning high level graphics API through web programming (THREE.js)

yolov9 icon yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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