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Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]

License: BSD 2-Clause "Simplified" License

Python 100.00%
deep-learning siggraph path-tracing monte-carlo-ray-tracing ray-tracing weakly-supervised-learning denoising image-reconstruction acm-tog contrastive-learning

wcmc's Introduction

In-Young Cho (조인영) 👋

I'm a Deep Learning Researcher at KRAFTON Inc., passionate about leveraging AI for 3D modeling, rendering, and reconstruction. With a solid foundation in computer science and mathematical science, my work focuses on the intersection of AI and interactive media.

🛠 Expertise

  • Neural Rendering & 3D Reconstruction: Transforming 2D images and videos into 3D models.
  • Deep Learning Applications: Enhancing gaming and spatial planning through AI.
  • Research & Development: Published at SIGGRAPH 2021, exploring deep representation learning for Monte Carlo image reconstruction.

🎓 Education

  • M.S. in Computer Science, KAIST (2019 - 2021). GPA: 4.25/4.30.
  • B.S. in Computer Science & Mathematical Science, KAIST (2015 - 2019). GPA: 4.00/4.30, Summa Cum Laude.

💼 Career

  • Deep Learning Researcher, KRAFTON Inc. (2022 - Present).
  • Machine Learning Engineer, Spacewalk (2021 - 2022).

📫 Contact

in-young to image The image was created using ChatGPT-4 to illustrate a scene that matches the meaning of my name, which is benevolence (仁) and prosperity (榮).

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