  Multi-view image generation attracts particular attention these days due to
its promising 3D-related applications, e.g., image viewpoint editing. Most
existing methods follow a paradigm where a 3D representation is first
synthesized, and then rendered into 2D images to ensure photo-consistency
across viewpoints. However, such explicit bias for photo-consistency sacrifices
photo-realism, causing geometry artifacts and loss of fine-scale details when
these methods are applied to edit real images. To address this issue, we
propose ray conditioning, a geometry-free alternative that relaxes the
photo-consistency constraint. Our method generates multi-view images by
conditioning a 2D GAN on a light field prior. With explicit viewpoint control,
state-of-the-art photo-realism and identity consistency, our method is
particularly suited for the viewpoint editing task.
