Depth Self-Supervision for Single Image Novel View Synthesis
Giovanni Minelli,Matteo Poggi,Samuele Salti,Giovanni Minelli,Matteo Poggi,Samuele Salti
In this paper, we tackle the problem of generating a novel image from an arbitrary viewpoint given a single frame as input. While existing methods operating in this setup aim at predicting the target view depth map to guide the synthesis, without explicit supervision over such a task, we jointly optimize our framework for both novel view synthesis and depth estimation to unleash the synergy betwee...
