[mlpack] GSOC-2020 | Idea Proposal | Image Generation Modules

[Marcus Edel]

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 <rakeshacharya.daruri at gmail.com> 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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> 

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