用拉普拉斯金字塔实现无预计算的实时纹理融合，避免接缝和失真。
GPU-Friendly Laplacian Texture Blending
- 基于图像处理中的拉普拉斯金字塔思想，无需预计算或额外内存。
- 在GPU上实时运行，仅需额外几次低分辨率贴图采样。
- 适合需要高质量纹理融合的实时渲染场景，如游戏与虚拟世界。
纹理与材质融合是提升渲染虚拟世界多样性、生成复合材质及程序化内容的重要方法。传统方法常因粗略处理导致可见接缝或对比度损失，影响真实感。以往工作依赖繁琐的手动参数调优、耗时的纹理统计预计算、查找表或训练深度神经网络。本文提出一种新方法，基于图像处理与拉普拉斯金字塔融合的洞察。该方法无需任何预计算或额外内存（除常规非拉普拉斯贴图层级外），不产生伪影，保留局部锐利特征，且可在GPU上实时运行，仅需额外几次低分辨率贴图采样。
原文摘要 · Abstract (English)
Texture and material blending is one of the leading methods for adding variety to rendered virtual worlds, creating composite materials, and generating procedural content. When done naively, it can introduce either visible seams or contrast loss, leading to an unnatural look not representative of blended textures. Earlier work proposed addressing this problem through careful manual parameter tuning, lengthy per-texture statistics precomputation, look-up tables, or training deep neural networks. In this work, we propose an alternative approach based on insights from image processing and Laplacian pyramid blending. Our approach does not require any precomputation or increased memory usage (other than the presence of a regular, non-Laplacian, texture mipmap chain), does not produce ghosting, preserves sharp local features, and can run in real time on the GPU at the cost of a few additional lower mipmap texture taps.
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