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Description

This 3D model depicts a young man holding two stacked cardboard boxes in both hands, as if he's in the middle of moving or delivering something. He wears a casual street-style outfit: a black t-shirt, a denim vest, red pants, and black sneakers. A backward black-and-red cap completes his look, giving him a laid-back yet functional appearance. His expression and posture suggest he’s either waiting for instructions on where to put the boxes or contemplating his next move.

Possible scenarios:

  • Moving Day Scene: Ideal for scenes depicting a residential move, office relocation, or warehouse delivery, adding realism to moving or storage environments.

  • Urban Delivery: Can be used in urban delivery or courier-related visualizations, making him a perfect fit for gig economy-themed settings.

  • Warehouse or Storage: Suitable for industrial or retail environments, where this character can represent an employee moving or stacking goods.

  • Retail Worker: Could be used in a retail setting, visualizing a worker stocking items in a store or warehouse.

This photorealistic 3D model is optimized for virtual reality (VR), augmented reality (AR), games, and other real-time applications. With approximately 50,000 polygons, it is suitable for architectural visualizations and creative projects.

Please note that this model is static and does not include animation. Its low-polygon structure and simplified geometry make it ideal for background elements or scenes that do not require close-up details, while maintaining high quality.

Tags: man, boxes, moving, delivery, red pants, denim vest, black sneakers, casual, streetwear, urban, warehouse, retail, photorealistic, VRReady, ARReady

Kanistra People is a series of photogrammetrically scanned characters designed for use in architectural visualizations, mockups and layouts, concept art and other types of visual development. This is ready-posed easy to use human models that do not require any complex setup or special skills.

Included formats

  • OBJ
  • FBX
  • Converted GLB, glTF, and USDZ