Hello Marcus/Ryan, I'm Rakesh Acharya , I wish to contribute to* mlpack library* by developing the *Image Generation* modules.Presently mlpack has *GAN,WGAN*.Many latest GAN models have disrupted the Image Generation field like BEGAN,Energy Based GAN,Manifold Matching GAN,Probabilistic GAN.
*Yann LeCun described it as “the most interesting idea in the last 10 years in Machine Learning”. * Among the existing models *BEGAN/I-BEGAN* outruns most of the models,including Energy Based GANs.I hope it will be a good leap forward in building mlpack Image Generation modules. After my initial proposal* Marcus suggested me I-BEGAN* paper and after giving a thorough reading came to a conclusion that , though it has problem with disentagling factors results obtained are *very good with minimal Wassertian Distance based losses* and *maxmized mutual information.* *BEGAN : <goog_1053210462>*https://arxiv.org/abs/1703.10717 *IBEGAN* : https://www.hindawi.com/journals/cin/2018/6465949/ I'd like to hear from you guys *suggestions regarding adding these modules to mlpack library* and growing the areas it can be used to *Image Generation.* Regards, Rakesh Acharya .D Computer Engineering,VIT Chennai Deep Learning,Computer Vision,Digital Signal Processing
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