东方瑰宝唐卡《中央毗卢遮那佛》高清数字化3D模型数据集

（一）实质性加工
数据清洗与优化：针对 OBJ 格式模型，结合唐卡 “多层佛国场景 + 精细纹样” 特征，定向排查并删除绢本纹理扫描产生的冗余顶点、场景元素重叠面（如曼荼罗与佛身衔接处），在保留细节的前提下减少 31% 数据量，提升模型加载与渲染速度，适配多场景流畅运行。
纹理映射调整：依据唐卡矿物颜料特性（如石青、金箔的色彩与光泽），精确校准纹理坐标，确保颜料纹理、金线纹样贴合模型表面，避免线条拉伸、色彩错位；按应用场景调整分辨率，学术研究保留 4K 纹理呈现颜料颗粒细节，大众传播压缩至 2K，平衡视觉效果与运行性能。
（二）创造性劳动
模型精细化处理：使用 MeshLab 软件消除扫描产生的叠面、交叉面，对毗卢遮那佛的毗卢帽、曼荼罗纹饰等精细结构进行 “网格优化”，在保证形态精准的前提下减少三角面数量；针对佛国场景的层次感，通过调整曲率参数优化模型轮廓，确保场景布局流畅自然。
表面与纹理优化：运用 AI 自适应高斯滤波算法处理扫描噪点，重点保留矿物颜料的晕染渐变细节（如佛衣的色彩过渡），避免算法过度平滑导致的质感丢失；结合人工二次校验，排查 AI 未识别的颜料色彩偏差、纹样断层问题

(I) Substantial Processing

1. Data Cleaning and Optimization: For OBJ-format models, combined with the features of Thangka's "multi-layered Buddhist realm scenes and intricate patterns", targeted inspection and deletion were conducted to remove redundant vertices generated by silk texture scanning and overlapping faces of scene elements (e.g., the junction between the mandala and the Buddha figure). The data volume was reduced by 31% while preserving details, improving model loading and rendering speeds and enabling smooth operation across multiple scenarios.

2. Texture Mapping Adjustment: Based on the properties of mineral pigments in Thangkas (such as the color and luster of azurite and gold leaf), texture coordinates were accurately calibrated to ensure that pigment textures and gold thread patterns fit perfectly onto the model surface, avoiding line stretching and color misalignment. Resolution was adjusted according to application scenarios: 4K textures were retained for academic research to present the details of pigment particles, while compressed to 2K for mass communication, balancing visual effects and operational performance.

(II) Creative Labor

1. Model Refinement: MeshLab software was used to eliminate overlapping and intersecting faces generated during scanning. "Mesh optimization" was performed on intricate structures such as the Vairocana crown and mandala patterns of Vairocana Buddha, reducing the number of triangular faces while ensuring accurate morphology. For the layered sense of the Buddhist realm scene, the model outline was optimized by adjusting curvature parameters to ensure a smooth and natural scene layout.

2. Surface and Texture Optimization: An AI adaptive Gaussian filtering algorithm was applied to remove scanning noise, focusing on retaining the gradient details of mineral pigment blending (e.g., the color transition of Buddha robes) to avoid texture loss caused by over-smoothing of the algorithm. Manual secondary verification was combined to identify pigment color deviations and pattern discontinuities that the AI failed to detect.

搜集汇总

背景与挑战

背景概述

该数据集提供了东方瑰宝唐卡《中央毗卢遮那佛》的高清数字化3D模型，专注于唐卡艺术的精细数字化呈现。它通过数据清洗和纹理映射优化，在保留矿物颜料色彩、金线纹样等细节的同时，显著提升了模型加载与渲染性能，适配学术研究（如4K纹理）和大众传播（如2K压缩）等多场景需求。此外，数据集还经过模型精细化处理和AI辅助的表面优化，确保了佛身结构、曼荼罗纹饰的形态精准与质感真实，体现了技术与艺术结合的创造性劳动。