A Fast, Efficient, and Robust Feature Protected Denoising Method
Mengyu Luo, Jian Wang · ACM Transactions on Graphics · 2025
This article proposes a fast, efficient, and robust feature protected 3D mesh denoising method based on a modified Lengyel-Epstein (LE) model, primarily aiming to ensure volume stab ility and deliver superior denoising results. Compared with the original model, we mainly introduce a function expression ζ ( X ) to replace the fixed parameters. The modified model is then discretized using a seven-point difference scheme and solved by an explicit Euler method. Notably, our approach requires no training samples or upfront training time, significantly enhancing overall computational efficiency.