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Found 4 papers, 0 papers with code
Training GANs with Centripetal Acceleration
Training generative adversarial networks (GANs) often suffers from cyclic behaviors of iterates.
A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations
In fact, a lot of classical inexact nonconvex and nonsmooth algorithms allow these three conditions.
Novel variational model for inpainting in the wavelet domain
Wavelet domain inpainting refers to the process of recovering the missing coefficients during the image compression or transmission stage.
Fast Linearized Alternating Direction Minimization Algorithm with Adaptive Parameter Selection for Multiplicative Noise Removal
Owing to the edge preserving ability and low computational cost of the total variation (TV), variational models with the TV regularization have been widely investigated in the field of multiplicative noise removal.
