Optimization plays a pivotal role in computer graphics and vision. Learning-based optimization algorithms have emerged as powerful technique for solving problems with robustness accuracy because it learns gradients from data without calculating the Jacobian Hessian matrices. The key aspect of is least-squares method, which formulates general parametrized model unconstrained optimizations makes ...