Blurred lines: reconstructing depth from a single snapshot

Researchers from The University of Osaka developed a computational imaging method that combines coded-aperture optics with diffusion-model-based artificial intelligence to recover both depth and sharp color images from a single photograph. The approach improves robustness across imaging conditions while reducing reconstruction errors commonly seen in existing methods.Read More