This Mannequin Dress Form Collection 3D Model Pack features male and female mannequins, complete with customizable stands and realistic PBR textures. Designed to be both functional and stylish, these models are ideal for use in fashion visualizations, clothing store scenes, product presentations, game environments, and VR/AR projects.

The collection includes:

• A male mannequin with shirt
• A female mannequin torso with a classic wooden stand
• A male mannequin with sleeveless hoodie on a rolling stand

All models are carefully crafted with clean topology, quad-based geometry, and optimized low-poly design, making them suitable for real-time rendering in Unity, Unreal Engine, and other 3D platforms. Each model comes with 4K PBR textures (Base Color, Normal, Roughness, Metallic, and AO), ensuring a realistic material response under different lighting setups.

Whether you are designing a clothing store interior, creating fashion-based 3D animations, or adding props to game environments, this mannequin set provides a versatile and professional-quality asset pack.

Key benefits:

• Perfect for retail, fashion design, and showroom visualizations
• Ready-to-use in VR/AR and game development
• Lightweight, optimized geometry for faster rendering and smooth performance
• Customizable stands: metal rolling bases and wooden legs included
• Detailed clothing pieces (shirt & hoodie) enhance realism for presentation and rendering

Key Features:

• Includes 3 mannequin models (male with shirt, female torso, male with hoodie)
• Multiple stand styles: wooden & metal rolling base
• 4K PBR Textures (Base Color, Roughness, Metallic, Normal, AO)
• Realistic fabric and wood/metal materials
• Low-poly, game-ready models with clean UV mapping
• Compatible with Unity, Unreal Engine, Blender, Maya, 3ds Max, Cinema 4D, etc.
• Ideal for fashion, retail, product display, games, VR, AR, and architectural visualization

File Formats Included:

• .blend (Blender)
• .mb (Maya)
• .fbx
• .obj
• .glb / .gltf
• .stl
• .usd
• Textures in 4K PNG (PBR workflow)