Creating a Traditional Chinese Room Environment in UE5

Learn to create a High-Quality 3D environment using Blender, Unreal Engine (UE5) and Substance Painter

4.79 (21 reviews)
Udemy
platform
English
language
3D & Animation
category
instructor
Creating a Traditional Chinese Room Environment in UE5
171
students
11 hours
content
May 2024
last update
$79.99
regular price

What you will learn

Learn to create a High-Quality 3D environment from Start to Finish

Learn 3D modelling in Blender

Learn to create realistic textures in Substance Painter

Using Smart Masks and Materials in Substance Painter

Level Design, Composition and Lighting in Unreal Engine 5

Why take this course?

🌟 Course Title: Creating a Traditional Chinese Room Environment in UE5

🚀 Course Headline: Dive into the World of Visual Storytelling with Unreal Engine 5, Blender, and Substance Painter!


Welcome to the Journey of Environmental Mastery! 🌍✂️

In this comprehensive course, we embark on a creative quest to design a breathtaking Traditional Chinese Room Environment from scratch. You will be guided through each step of the process using industry-standard tools like Unreal Engine 5 (UE5), Blender, and Substance Painter. 🎨


What You'll Achieve:

  1. 33 In-Depth Video Lectures! 📺🎧 With over 11+ hours of Full HD content, each video comes complete with detailed audio commentary to enhance your learning experience.

  2. All the Necessary Files! 🖥️ Get your hands on .blend files, unreal project files, substance files, reference images, textures, and more to follow along and apply what you learn directly to your own projects.


Software Toolkit:

  • Blender: Dive into 3D modelling, where the journey begins. Blender's versatile toolset will be your canvas for creating the intricate elements of our scene. (No worries if you're familiar with a different 3D package—the techniques are universal!)

  • Substance Painter: Explore the realm of texturing to infuse life and culture into every surface. You'll learn to create realistic materials using smart masks, generators, and smart materials.

  • Unreal Engine 5 (UE5): Bring your creations to life with UE5's state-of-the-art features for lighting, level art, and composition. Experience the power of Lumen for realistic lighting and a Post-Processing volume to fine-tune your visuals.


Course Breakdown:

  1. Reference Gathering: We kick off with inspiration from reference images using Pure Ref, setting the tone for our Traditional Chinese Room Environment.

  2. 3D Modeling in Blender: Create the main assets such as the Writing Table, Chairs, Shelves, and various props, mastering Blender's modeling process along the way.

  3. Texturing with Substance Painter: Learn to apply high-quality, realistic textures using Substance Painter's powerful features like Smart Masks and Generators.

  4. Bringing It All Together in UE5: Import your models and textures into Unreal Engine 5 and set up the scene, focusing on creating a mood with lighting, materials, and composition. Enhance your scene with Lumen's dynamic lighting and Post-Processing effects.

  5. Detailed Props and Final Touches: Add additional details with small props like Vases, Lamps, Tea Pots, and incorporate some high-quality assets from Quixel Megascans for that extra polish.

  6. Camera Setup and Portfolio Prep: Learn to set up different camera angles for the best shot compositions and take high-resolution screenshots to showcase your work in an impressive portfolio.


Who Should Take This Course?

This course is tailored for students who possess a foundational knowledge of 3D modelling, texturing, and are looking to elevate their environment creation skills using Unreal Engine 5, Blender, and Substance Painter. Prior familiarity with these software tools will be advantageous but not mandatory, as the course will cover everything in detail.


Join us on this creative adventure and transform your vision into a stunning 3D Traditional Chinese Room Environment that stands out in your portfolio and demonstrates your mastery of high-quality 3D artistry. 🎓✨

Screenshots

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5321072
udemy ID
11/05/2023
course created date
26/05/2023
course indexed date
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