Transforming Robot Production Pipeline Volume 5: Robot Texturing
In this tutorial, we will learn about the process of texturing our transforming robot's robot form. Software required: MARI 1.4v2.
In this tutorial, we will learn about the process of texturing our transforming robot's robot form. To get started, you should know that this MARI tutorial will focus on providing you with a high level glimpse at the thought processes that went into painting textures for our robot. While we won't focus on painting every stroke of our textures, we will be walking through each step, demonstrating techniques as well as providing insight into the process. This also means that if you use another application for texturing, you'll still get valuable information from this course in terms of how different texture elements will be identified and layered. This course will begin by focusing on selecting geometry and how MARI's selection groups can make this much easier. From here, we will focus on laying down a base of photographic texture for our robot before moving into adding additional details like dirt, rust, and scratches. To wrap this course up, we will learn how to repurpose channels of data for our specular map and then export those maps out of MARI. After completing this course, you'll not only know how the texture maps for our robot were painted but you'll also gain insight into the thought process behind painting them. Software required: MARI 1.4v2.
Course SyllabusIntroduction and Project Overview- 1m 14s
—Introduction and Project Overview 1m 14sTransforming Robot Production Pipeline Volume 5: Robot Texturing- 1h 57m
—Using Selection Groups and Object Versions 13m 20s
—Building a Photographic Texture Base 14m 7s
—Creating Detail That Doesn't Exist with Textures 11m 19s
—Adding Decals from Our Truck Textures 14m 44s
—Creating the Preliminary Dirt Pass 10m 34s
—Creating the High Contrast Dirt Pass 10m 49s
—Scuffing up the Robot's Paint 11m 24s
—Adding Rust to the Robot 9m 29s
—Re-purposing Channels to Create Specular Data 10m 48s
—Selectively Modifying the Specular Channel Data 5m 49s
—Exporting Maps and Closing Thoughts 5m 10s