Fating Hong
Reality Lab Research Intern at Meta
Guangzhou City, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolFating Hong is a computer vision researcher-engineer with nine years’ experience focused on talking-head and digital human video generation, currently contributing to real-time 4D avatar neural rendering at Meta Reality Labs. He holds a PhD from HKUST and has interned on related problems at Tencent, Adobe, and Tencent ARC, bridging academic depth with product-minded research. His work blends video understanding, generative modeling, and real-time systems—skills he’s repeatedly applied across industry research labs in China and the US. Actively seeking opportunities to turn talking-head research into deployable products, he brings both rigorous publication-grade expertise and hands-on experience shipping prototypes at scale.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Sun Yat-Sen UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at South China University of TechnologyHong Kong University of Science and Technology (HKUST)
Github Skills (39)
face10
generative-adversarial-network10
generative10
deepfake10
depth10
tf-keras9
pytorch8
siggraph6
depth-estimation6
ctc5
keras5
ocr5
thin5
deep-learning4
python4
Programming languages (2)
Github contributions (5)
harlanhong/awesome-talking-head-generation
Jan 2022 - Jan 2023
Contributions:41 commits, 19 PRs, 75 pushes in 11 months
image-animationface-reenactmentmotion-transfertalking-head
harlanhong/CVPR2022-DaGAN
Apr 2022 - Nov 2022
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Contributions:43 commits, 2 PRs, 74 pushes in 7 months
pytorchadversarialgenerative-adversarial-networkdepthhead
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