Abstract In this work, we propose a learning-based method to denoise and refine disparity maps. The proposed variational network arises naturally from unrolling the iterates of proximal gradient applied energy defined in joint disparity, color, confidence image space. Our allows learn robust collaborative regularizer leveraging statistics color image, map map. Due structure our method, individu...