Snapshot spectral imaging technology enables the capture of complete spectral information
of objects in an extremely short period of time, offering wide-ranging applications in fields …

Deep lens optimization has recently emerged as a new paradigm for designing
computational imaging systems, however it has been limited to either simple optical systems …

The joint design of the optical system and the downstream algorithm is a challenging and
promising task. Due to the demand for balancing the global optima of imaging systems and …

The end-to-end (E2E) optimization of optics and image processing, dubbed deep optics, has
renewed the state-of-the-art in various computer vision tasks. However, specifying the …

Computational spectral imaging is drawing increasing attention owing to the snapshot
advantage and amplitude phase and wavelength encoding systems are three types of …

Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene.
However existing methods are either prohibitively expensive and bulky or compromise on …

In telescopic systems consisting of Alvarez lenses, chromatic aberrations vary with the
magnifications and the fields of view. Computational imaging has developed rapidly in …

Computational spectral imaging is drawing increasing attention owing to the snapshot
advantage, and amplitude, phase, and wavelength encoding systems are three types of …

In computer vision, it has long been taken for granted that high-quality images obtained
through well-designed camera lenses would lead to superior results. However, we find that …

Monocular depth estimation is an important computer vision task widely explored in fields
such as autonomous driving, robotics, and more. Recently, deep optics approaches that …