We propose NeRF−−, a NeRF-based framework for novel view synthesis without pose supervision. Specifically, given only a sparse set of uncalibrated images of a scene as input, with unknown camera parameters, our pipeline estimates the camera extrinsics and intrinsics of the input images, and simultaneously trains a Neural Radiance Field (NeRF) via joint optimisation.