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<aside> 🔎 I'm a five-year Ph.D. candidate at Gwangju Institute of Science and Technology (GIST) under the supervision of Prof. Bochang Moon. My research interest is “AI + physically based rendering” and “image restoration problem”. Please feel free to send me an e-mail if you’d like to talk with me.

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✉️ jongheeback (at) gm.gist.ac.kr

👥 Linkedin

☎️ +82-62-715-5342

💼 CV

Representative Publications

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Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

ACM SIGGRAPH Asia 2023 Conference Proceedings, Article 9, 10 pages, December 2023

[Paper] [Supplementary report] [Interactive viewer] [Code]

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Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images

Geunwoo Oh, Jonghee Back, Jae-Pil Heo, Bochang Moon

Proceedings of the AAAI Conference on Artificial Intelligence, 37(2), 1993-2001, Feb 2023

[Paper] [Supplementary report] [Code]

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Self-Supervised Post-Correction for Monte Carlo Denoising

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

ACM SIGGRAPH 2022 Conference Proceedings, Article 18, 8 pages, July 2022

[Paper] [Supplementary report] [Interactive viewer] [Code]

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Deep Combiner for Independent and Correlated Pixel Estimates

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2020), 39(6), pp. 242:1-242:12, Dec 2020

[Paper] [Supplementary report] [Interactive viewer] [Code]

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Gradient Outlier Removal for Gradient-Domain Path Tracing

Saerom Ha, Sojin Oh, Jonghee Back, Sung-Eui Yoon, Bochang Moon

Computer Graphics Forum (Proceedings of Eurographics 2019), 38(2), pp. 245-253, June 2019

[Paper] [Supplementary report] [Code]

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Feature Generation for Adaptive Gradient-Domain Path Tracing

Jonghee Back, Sung-Eui Yoon, Bochang Moon

Computer Graphics Forum (Proceedings of Pacific Graphics 2018), 37(7), pp. 65-74, October 2018 - Best Paper Honorable Mention award

[Paper] [Supplementary report] [Code]