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所在平台: Udemy |
课程主页: https://www.udemy.com/course/unreal-shader-megascans-assets/
课程评论:没有评论
**課程名稱:Unreal Shader: Megascans Assets** **課程概述:** 本課程將一步步引導您從零開始創建一個專門用於 Megascans 資產的著色器(Shader)。雖然 Unreal Engine 自帶的著色器功能已經非常強大,但通過組合特定的技術,我們可以進一步提升 Megascans 資產的渲染效果。 **您將學到:** 1. **空腔貼圖 (Cavity Map):** 學習如何創建空腔貼圖,通過在曲面凹槽處添加陰影,來突顯細節的深度和微觀紋理。 2. **絨毛貼圖與絨毛著色 (Fuzzy Map & Fuzzy Shading):** 了解如何使用絨毛貼圖讓苔蘚等細節更加突出,並通過絨毛著色技術賦予其更真實的外觀。 3. **細節法線貼圖 (Detail Normal Map):** 當模型法線貼圖細節不足時,學習如何添加細節法線貼圖,以獲得更高層次的細節表現。 4. **函數分組與優化 (Function Grouping & Optimization):** 為了確保所有著色器相互兼容並保持優化,我們將創建一個函數,將所有基礎屬性及其參數進行統一管理。 5. **額外系統:覆蓋層與地形混合 (Cover System & Terrain Blending Systems):** 課程將介紹兩個額外的系統:一個用於實現覆蓋層效果,另一個用於實現地形混合。 6. **RVT 技術的應用 (Using RVTs):** 為了使這些系統正常工作,我們將學習如何使用 RVT (Runtime Virtual Texturing) 技術來烘焙屬性並將其投射到資產上。 **重要注意事項:** * 本課程是以 **Unreal Engine 5.2 版本** 創建的,強烈建議您使用 **相同版本!** 如果您選擇使用其他版本,可能會遇到課程未涵蓋的潛在錯誤。 * **版權聲明:** 課程中提供的所有內容僅供個人使用。您 **不得** 分享、出售或將其免費提供給任何平台。
During this course I will show you, step by step, how to create a dedicated Megascans Assets Shader from scratch.The native shader is very good, but by combining certain things together you can push the rendering of your Megascans assets.What I will learn?First, the cavity map! This will bring out the depth and micro-details by adding shadows in curvatures.With the Fuzzy map, you can make the moss stand out, but with fuzzy shading you can give it a more realistic look.On some models, the normal pitch is shy sometimes, but by adding a detail normal, you always get a higher level of detail.To make all my shaders compatible with each other and keep them optimized, we will create a function grouping all the basic attributes with their parameters.Finally, we will create two additional systems, the first about cover and the second about terrain blending.And to make them work, we will see how to use RVTs to bake attributes and projected them on our assets.Important note: This course was created in version 5.2 and it is STRONGLY RECOMMENDED to use THE SAME version! If you choose to use another version, be aware that you may encounter possible errors not covered in this course.About copyrights:All you can find in this course are for personal usage only. You cannot share it, sell it or make it available for free on any platform.