  Introducing CSI-Inpainter, a pioneering approach for occlusion removal using
Channel State Information (CSI) time sequences, this work propels the
application of wireless signal processing into the realm of visual scene
recovery. Departing from traditional occlusion removal, CSI-Inpainter leverages
CSI data to construct and refine obscured visual elements in a scene,
facilitating recovery independent of lighting conditions. Validated through
comprehensive testing in both office and industrial environments, CSI-Inpainter
demonstrates a robust capacity for discerning and reconstructing occluded
segments, establishing a new frontier for obstacle removal. This
first-of-its-kind framework offers a transformative perspective on how
environmental visual information can be extracted from CSI, thereby broadening
the scope for computer vision applications in everyday contexts.
