What question did this study set out to answer?

To develop a deep learning framework integrated with optical physics to accurately simulate the physical characteristics and multi-layer visual rendering of Gongbi painting pigments.

August 16, 2026Advanced ElectromagneticsOpen Access

Research on Simulation and Visualization of Paint Materials in Gongbi Painting Based on Deep Learning

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Authors

JLJ.P. LiMokwon University

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Implication

Simulation study demonstrates enhanced texture restoration and rendering speed for Gongbi pigments, highlighting real-time digital reproduction of traditional painting techniques.

Key Points

To develop a deep learning framework integrated with optical physics to accurately simulate the physical characteristics and multi-layer visual rendering of Gongbi painting pigments.
Combined Kubelka-Munk color optics theory with a Conditional Generative Adversarial Network (CGAN) across three modules: pigment characteristic extraction, multi-layer overlay simulation, and visual rendering.
Evaluated the framework using 10 representative Gongbi pigments (5 mineral pigments and 5 plant pigments) against standard physical modeling and deep learning approaches.
Improved pigment texture restoration accuracy and color overlay similarity by more than 30% compared to traditional physical and deep learning baselines.
Increased visual rendering speed by 50%, enabling real-time interactive reproduction of complex artistic effects such as thin-color multi-coating and blending gradients.

Cite This Study

J.P. Li (2026) studied this question.

synapsesocial.com/papers/6a817a91f2fb91fc834ae708 https://doi.org/10.7716/aem.v15i3.4034

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Implication

Simulation study demonstrates enhanced texture restoration and rendering speed for Gongbi pigments, highlighting real-time digital reproduction of traditional painting techniques.

Research on Simulation and Visualization of Paint Materials in Gongbi Painting Based on Deep Learning

Discussion

Member takes

Implication

Key Points

Cite This Study

Research on Simulation and Visualization of Paint Materials in Gongbi Painting Based on Deep Learning

Discussion

Member takes

Implication

Key Points

Cite This Study

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