Huangxin Xu

Pip-Stereo: Progressive Iterations Pruner for Iterative Optimization based Stereo Matching

While iterative stereo matching achieves high accuracy, its dependence on Recurrent Neural Networks (RNN) hinders edge deployment, a challenge underexplored in existing researches. We analyze iterative refinement and reveal that disparity updates are spatially sparse and temporally redundant. First,