New York City, Lower Manhattan, USA 3D Model (2022)

New York City 3D model of Lower Manhattan, USA. Detailed downtown skyline featuring iconic landmarks and streetscapes. Perfect for architectural visualization, presentations, games, and motion graphics. High-quality geometry with accurate proportions for a realistic urban view of Lower Manhattan.

New York City, Lower Manhattan, USA (2022) 3D Model main preview

Overview

Download the New York City, Lower Manhattan, USA 3D Model (2022) available in MAX, FBX, OBJ, BLEND, C4D file formats.

This textured and UV mapped polygonal 3d model compatible with 3ds Max, Maya, Blender, Cinema 4D, Unreal Engine, Unity, Lightwave, Softimage, SketchUp, and other 3D modeling, animation, game design and AR/VR packages.

New York Lower Manhattan 2022 3D City, United States of America.

1:1 real-world scale.

349 tiles with realistic 4096x4096 pixels texture per tile.
One tile contains ground, buildings, trees, cars and other world objects as one mesh.

Double precision metric UTM coordinates XY-centered Z-up in .obj file format.

Textures and objects are optimized for real-time rendering.

Tested in 3ds Max, Blender, Cinema 4D, Unity and Unreal Engine.

3D model was produced with AI photogrammetry method.

Contact me at 3dmlib@gmail.com for custom 3d city modeling requests and for any other questions. I can make other areas of this city and other cities in the world with different levels of detail.

Uploaded by Jim Snecker on February 2023

Use Cases

  • Urban context visualization
  • Real estate marketing
  • Film, TV, and VFX backdrops
  • Virtual reality city walkthroughs
  • Smart city visual digital twins
  • Emergency and disaster simulation
  • Infrastructure and facade inspection
  • GIS and geospatial visualization
  • Games and simulation environments
  • Cultural heritage documentation

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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