Donggoo Kang
Part Lead at 스마일게이트
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDonggoo Kang is a Part Lead and PhD-trained researcher with eight years of experience specializing in Graphics AI, Computer Vision, and Vision-Language Models, based in Seoul. He leads vision efforts at Smilegate after driving 3D asset generation and creative AI research, applying novel techniques like latent video generation and ControlNet-enhanced vid2vid for geometry-aware texturing. His work bridges perception and generation to create immersive 3D environments, with a track record in UV inpainting and positional encoding to improve texturing accuracy. Trained at Chung-Ang University in AI Imaging and with internships at NCSoft’s AI labs, he combines deep academic rigor with practical product-focused research. Notably, he often translates cutting-edge research prototypes into production-ready pipelines for game and virtual content creation.
8 years of coding experience
7 years of employment as a software developer
박사 AI Imaging, 박사 AI Imaging at Chung-Ang University서울고등학교석사 데이터사이언스, 석사 데이터사이언스 at Sungkyunkwan University
Github Skills (13)
dice10
loss10
dice-coefficient9
object-detection6
deep-learning5
pytorch5
stock-analysis2
stock2
finance2
computer-vision1
javascript1
nodejs1
yolov51
Programming languages (1)
Github contributions (5)
tiruss/SdBAN
Jul 2019 - Feb 2021
Code "SdBAN: Salient Object Detection Using Bilateral Attention Network with Dice Coefficient Loss"
Contributions:48 commits, 2 PRs, 43 pushes in 1 year 7 months
pytorchsalient-object-detectiondeep-learningobject-detectiondice-coefficient
tiruss/eye_detector
Mar 2018 - Apr 2018
Contributions:9 commits, 6 pushes, 1 branch in 3 days
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