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Update README.md

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@@ -41,13 +41,13 @@ It's intended to be used by researchers and academics to develop new 3D generati
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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 $518 \times 518$.
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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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  **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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