Abstract: Food safety is a major global concern, especially nowadays when food samples are increasingly complex. However, traditional detection methods only rely on a single type of data, which makes ...

We introduce MVInverse, aiming to address the limitations of existing methods—such as inconsistent results or high computational costs—when reconstructing scene geometry and materials from multiple ...