Hello Rakesh, thanks for the update, I really like your thoughts about the models, I think it would be a great addition, especially since it builds on code we already have.
Thanks, Marcus > On 15. Mar 2020, at 18:23, rakesh acharya <[email protected]> > wrote: > > 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 : <x-msg://6/goog_1053210462>https://arxiv.org/abs/1703.10717 > <https://arxiv.org/abs/1703.10717> > IBEGAN : https://www.hindawi.com/journals/cin/2018/6465949/ > <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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