Overview: Introducing a meticulously crafted 1967 Classic Muscle Car 3D model, inspired by the iconic Chevrolet Impala 1967. This low-poly asset is optimized for seamless integration into various real-time applications, including games, VR/AR experiences, and animations.
Key Features:
Optimized Geometry: With a polygon count of 17,213 and 16,842 vertices, this model ensures optimal performance without compromising visual fidelity.
High Compatibility: Created in Blender and available in multiple formats: .blend, .obj, .fbx, and .gltf/.glb, ensuring compatibility across various platforms and software.
Game & Animation Ready: Tailored for real-time rendering engines like Unity and Unreal Engine, making it ideal for gaming projects, simulations, and interactive applications.
Customizable Materials: Utilizes basic shaders and materials, allowing for easy color customization to fit diverse project aesthetics.
Separate Components: Features detachable wheels, facilitating straightforward rigging and animation processes.
Detailed Specifications:
Geometry: Low-poly design with clean topology, ensuring efficient performance in real-time applications.
Materials: Basic shaders applied with no textures, providing a foundation for further customization based on project requirements.
Components: Exterior shell with separate wheel objects, streamlining the animation workflow.
Ideal Applications:
Video Games: Perfect for racing games, open-world adventures, or any project requiring a classic muscle car aesthetic.
VR/AR Experiences: Suitable for immersive environments, virtual showrooms, or augmented reality applications showcasing classic automobiles.
Animations & Visualizations: Great for use in animations, promotional videos, or architectural visualizations needing a touch of vintage automotive flair.
Additional Notes:
Customization: Easily modify materials and colors to align with specific project themes or branding guidelines.
Performance: Designed to deliver high-quality visuals while maintaining low resource consumption, ensuring smooth performance across platforms.
