Target-Aware Image Denoising for Inverse Monte Carlo Rendering
https://sgvr.kaist.ac.kr/publication/target-aware-image-denoising-for-inverse-monte-carlo-rendering/
Jeongmin Gu, Jonghee Back, Sung-Eui Yoon, and Bochang Moon
TopACM Transactions on Graphics (SIGGRAPH 2024), 2024
Physically based differentiable rendering allows an accurate light transport simulation to be differentiated with respect to the rendering input, i.e., scene parameters, and it enables inferring scene parameters from target … Continue reading "Target-Aware Image Denoising for Inverse Monte Carlo Rendering"
Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction
https://sgvr.kaist.ac.kr/publication/weakly-supervised-contrastive-learning-in-path-manifold-for-monte-carlo-image-reconstruction/
In-Young Cho, Yuchi Huo, and Sung-Eui Yoon
TopACM Trans. on Graphics (ToG) (proc. of SIGGRAPH), 2021
High-dimensional Feature Extraction for Denoising Monte Carlo Renderings몬테카를로 렌더링의 노이즈 제거를 위한 고차원 피처 추출
https://sgvr.kaist.ac.kr/publication/%eb%aa%ac%ed%85%8c%ec%b9%b4%eb%a5%bc%eb%a1%9c-%eb%a0%8c%eb%8d%94%eb%a7%81%ec%9d%98-%eb%85%b8%ec%9d%b4%ec%a6%88-%ec%a0%9c%ea%b1%b0%eb%a5%bc-%ec%9c%84%ed%95%9c-%ea%b3%a0%ec%b0%a8%ec%9b%90-%ed%94%bc/
조인영, Yuchi Huo, and 윤성의
한국컴퓨터그래픽스학회(KCGS), 2020
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
https://sgvr.kaist.ac.kr/publication/adaptive-incident-radiance-field-sampling-and-reconstruction-using-deep-reinforcement-learning/
YUCHI HUO, RUI WANG, RUZAHNG ZHENG, HUALIN XU, HUJUN BAO, and SUNG-EUI YOON
TopACM Trans. on Graphics (ToG), 2020
Chosen as the cover image of the journal issue
Paper Sup. report
Adaptive Rendering with Linear Predictions
https://sgvr.kaist.ac.kr/publication/adaptive-rendering-with-linear-predictions/
Bochang Moon, Jose A. Iglesias-Guitian, Sung-Eui Yoon, and Kenny Mitchell
TopACM Transaction on Graphics (Proc. of SIGGRAPH), 2015