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This session explores rapid creation of photo-realistic 3D assets using the latest computer vision techniques, with a focus on Gaussian Splatting. Participants will learn how realistic 3D environments can be generated directly from images or videos—without complex hardware setups. The talk will cover the end-to-end pipeline, including data capture and processing, while discussing current challenges and limitations. A live demo will showcase the full workflow, and the session will highlight practical applications in AR/VR and immersive storytelling. Speaker Bio: Bishad Koju is the Co-Founder and CEO of NHU AI, a spatial computing startup focused on democratizing access to realistic 3D experiences. He holds a background in Computer Engineering and has research experience in 3D Reconstruction. His work lies at the intersection of computer vision and immersive technology. Bishad is currently building Captures Studio, a web-based platform that enables rapid capture, creation, and sharing of photo-realistic 3D assets using smartphone images and videos. These 3D assets can be used for AR/VR applications, industrial training, real estate showcases, education, cultural heritage documentation, and more.