  The reflective nature of the human eye is an underappreciated source of
information about what the world around us looks like. By imaging the eyes of a
moving person, we can collect multiple views of a scene outside the camera's
direct line of sight through the reflections in the eyes. In this paper, we
reconstruct a 3D scene beyond the camera's line of sight using portrait images
containing eye reflections. This task is challenging due to 1) the difficulty
of accurately estimating eye poses and 2) the entangled appearance of the eye
iris and the scene reflections. Our method jointly refines the cornea poses,
the radiance field depicting the scene, and the observer's eye iris texture. We
further propose a simple regularization prior on the iris texture pattern to
improve reconstruction quality. Through various experiments on synthetic and
real-world captures featuring people with varied eye colors, we demonstrate the
feasibility of our approach to recover 3D scenes using eye reflections.
