Scanned Almond Nut 3D Model – Low Poly PBR Asset, FBX
Fruit

Scanned Almond Nut 3D Model – Low Poly PBR Asset, FBX

$18 $12.6

File Formats

Native Format

.blend
Cycles | 4.2 | 4.2 • 9.44 MB

Exchange Formats

.jpg.stereolithography.alembic.autodesk fbx.obj

Features

File & scene

No unsupported objects Binary FBX

Geometry

Polygon mesh Manifold geometry No faceted geometry No N-gons

Textures & material

Assigned materials Power of 2 texture sizes Square textures No embed textures PBR textures

UVs & naming

Allowed characters UV unwrapped model No UV overlaps

3D Features

Plugins Used UV Mapping Materials Textures PBR Low-poly

Unwrapped UVs

Non-overlapping

Download information

After purchase, you will receive an email within several hours with a download link to access your files.

Description

Discover the realistic details of our Scanned Almond Nut 3D Model, expertly captured through photogrammetry. This low-poly asset is perfect for adding authentic touches to your projects.

Crafted with precision, the model features 465 polygons while maintaining a high level of detail. It includes PBR textures that enhance realism, allowing you to achieve stunning visual fidelity in your renders or games. The textures are 8k resolution, including color, bump, normal, roughness, edge, and ambient occlusion maps, all calibrated using a ColorChecker from RAW for true-to-life color accuracy.

  • File Format: Binary FBX
  • Geometry: No N-gons, Manifold geometry
  • Textures: PBR, 8k resolution, Smart UV unwrap
  • UV Mapping: Non-overlapping UVs, Assigned materials
  • Low Poly: 465 polygons, High Poly: 58302 polygons

This almond nut model is an essential asset for game developers, animators, and visual artists looking to create realistic food scenes or enhance their virtual environments. Its versatility makes it suitable for both real-time applications and high-quality visualizations.

Download this ready-to-use asset today and elevate your project with stunning realism! Get started now!

Tags

almonddryfoodfruitkernelnutphotogrammetryrawscanscanned