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  • Effortlessly convert images into stunning 3D assets with TRELLIS 3D AI's cutting-edge technology.
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    What is TRELLIS 3D AI?
    TRELLIS 3D AI revolutionizes the way 3D assets are created from images. Utilizing advanced neural networks and Structured LATents (SLAT), TRELLIS 3D AI ensures every generated asset maintains both structural integrity and visual details. Simply upload your image and let TRELLIS 3D AI's powerful technology convert it into a high-quality 3D model in formats like GLB and 3D Gaussian. Ideal for professionals who require reliable and detailed 3D assets for their projects, games, or applications, TRELLIS 3D AI offers instant processing and browser-based previews, making the entire process effortless and efficient.
    TRELLIS 3D AI Core Features
    • Advanced 3D generation
    • Multiple output formats (GLB, 3D Gaussian)
    • High-quality results
    • Browser-based preview
    • Local editing capability
    • Instant processing
    TRELLIS 3D AI Pro & Cons

    The Cons

    The Pros

    Advanced AI technology for high-quality image to 3D asset conversion
    Supports multiple 3D output formats (GLB and 3D Gaussian)
    Browser-based 3D asset preview without needing software installation
    Allows local editing of generated 3D assets
    Free version available along with professional features
    TRELLIS 3D AI Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://trellis3d.co
  • An open-source JavaScript framework enabling interactive multi-agent system simulation with 3D visualization using AgentSimJs and Three.js.
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    What is AgentSimJs-ThreeJs Multi-Agent Simulator?
    This open-source framework combines the AgentSimJs agent modeling library with Three.js's 3D graphics engine to deliver interactive, browser-based multi-agent simulations. Users can define agent types, behaviors, and environmental rules, configure collision detection and event handling, and visualize simulations in real time with customizable rendering options. The library supports dynamic controls, scene management, and performance tuning, making it ideal for research, education, and prototyping of complex agent-based scenarios.
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