Discussions and Exploration on Gaussian Splatting

Although my academic work followed a different path, I had the opportunity to learn deeply about Gaussian Splatting through my brother’s research and thesis on 3D reconstruction. He introduced me to the core principles behind radiance field representations, scene optimization, and differentiable rendering, which opened many fascinating conversations between us.

These discussions were not formal research, but they helped me understand how geometry, perception, and computation intertwine. Together, we explored ideas on data efficiency, rendering accuracy, and potential extensions of splatting beyond graphics, for example toward structure learning and spatial reasoning.

That exchange shaped my way of thinking: learning not only from study, but from dialogue, curiosity, and shared discovery.

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