Show HN: Apple's Sharp Running in the Browser via ONNX Runtime Web

This innovative project demonstrates how Apple's SHARP model can be run directly in the browser using ONNX Runtime Web, enabling users to generate and visualize Gaussian splats from images without server-side processing. It highlights the potential for more accessible, privacy-conscious AI applications that operate entirely on the client side, reducing reliance on cloud infrastructure. This development could accelerate the adoption of advanced AI tools in consumer-facing applications and inspire further browser-based AI innovations.

• Enables in-browser image processing with Apple's SHARP model using ONNX Runtime Web.
• Requires both the .onnx graph file and the separate .onnx.data weights file for proper functionality.
• Facilitates privacy-preserving AI workflows by eliminating the need for server-side computation.