Man 3D Model

Man male 3D model: realistic gendered character for game and animation projects. Detailed body proportions, natural pose options, and a clean mesh designed for easy rigging and rendering workflows. Perfect for character scenes, cinematic shots, and virtual environments.

Man 3D Model main preview

Overview

Download the Man Male Character 3D Model — a production-ready humanoid character asset designed for game development, CGI visualization, animation, and real-time rendering. This detailed 3D model is perfect for character creators, artists, and developers who need a high-quality base character that can be easily integrated into existing pipelines.

Usage patterns:

  • Games & Real-time scenes: Use the male character model as a playable character, NPC, or hero base in real-time workflows.
  • Animation & Motion design: Ideal for rigging, posing, and creating walk/run/idle animation sequences.
  • Archviz & Visualization: Great for adding realistic human presence to interior/exterior renders.
  • Training, VR & Simulations: Suitable for interactive environments and simulation content.
  • Product/Marketing CGI: Perfect for stylized campaigns, promotional scenes, and character-based storytelling.

File format support: The model is available in multiple professional formats, including MAX, OBJ, FBX, C4D, and BLEND. Download the format that matches your software workflow or export to your preferred pipeline.

Software compatibility: Works with popular 3D tools such as Blender, 3ds Max, Maya, Cinema 4D, and Unreal Engine, as well as other 3D applications that support these standard formats.

Bring your scenes to life with this versatile male character 3D asset—ready to use, easy to convert, and designed to fit seamlessly into modern 3D and game production workflows.

Uploaded by Hajrudin Krajinovic on April 2013

License

  • Royalty-Free License.
  • Commercial and editorial use according to site license terms.
  • Redistribution of source files is not allowed.
  • Please review the full license details before using the model in published work.

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