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README.md
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**Input Type(s):** Image
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**Input Format(s):** Red, Green, Blue (RGB)
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**Input Parameters:** Two-dimensional (2D) image
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**Other Properties Related to Input:** Resolution will be resized to
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## Output
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**Output Type(s):** Triangle Mesh
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**Output Format:** GL Transmission Format Binary (GLB)
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**Output Parameters:** Three-dimensional (3D) triangle mesh
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**Other Properties Related to Output:** Extracted at a resolution up to
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Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
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**Input Type(s):** Image
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**Input Format(s):** Red, Green, Blue (RGB)
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**Input Parameters:** Two-dimensional (2D) image
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**Other Properties Related to Input:** Resolution will be resized to 518x518.
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## Output
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**Output Type(s):** Triangle Mesh
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**Output Format:** GL Transmission Format Binary (GLB)
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**Output Parameters:** Three-dimensional (3D) triangle mesh
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**Other Properties Related to Output:** Extracted at a resolution up to 512^3; without texture.
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Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
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