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by cod2war on 24 November 2021 - 229 views - 0 comments
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Udemy - Blender to Unreal Engine 5 | 3D Props | Medieval Gallows

Udemy - Blender to Unreal Engine 5 | 3D Props | Medieval Gallows
Udemy - Blender to Unreal Engine 5 | 3D Props | Medieval Gallows
Duration 7h Project Files Included MP4

Info:
Complete Guide To Learning How To Create AAA Game Assets In Blender and Then Export to Unreal Engine 5

What you'll learn

• Following through a complete guide on creating a set of AAA game-ready quality medieval market stall
• Maximising the potential of your references to develop strong game asset concepts
• Using Blender and understanding its interface and shortcuts
• 3D modelling from a beginner level right up to techniques used by professionals around the world in many top game companies
• A course within a course introduction into (a) Blender basics, (b) materials and textures, and (c) seams, sharps, and UVs
• Discovering the basics of using the Blender cloth simulator
• Learning how to use an HDRI as a 3D model background for your portfolio
• Maintaining and optimising medieval Europe aesthetics
• Effective problem-solving in Blender
• Adding materials using Blender's node system
• Complete guide on marking seams & texture resolutions
• Complete UV Mapping Guide: UV mapping and UV unwrapping your model
• Being introduced to environment creation in Unreal Engine 5
• Learning how to use rendering to improve the quality of presentation for your 3D environment in Blender Cycles and Unreal Engine 5
• Taking a high-resolution render in Unreal Engine 5
• Rendering game assets to a high level for professional 3D artist portfolios

Requirements

• To own a computer (Microsoft, Linux or Mac)
• To have downloaded Blender (available for free)
• To have downloaded Unreal Engine 5 (preferably) or another open-source game engine
• A thirst to learn and excitement about 3D modelling and cloth simulation
• To download all course resources including a free course handbook and download pack with 6 textures, and 48 texture maps at 4 k resolution, 2 references, 1 HDRI map, 1 HDRI portfolio gradient map, and 1 human reference.

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