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

[rakesh acharya]

    Hello Marcus ,
           Thank you for the feedback.I will be proceeding with the idea.


Rakesh Acharya .D

B.Tech Electronics and Computer Engineering

VIT Chennai

7550170134 | rakeshacharya.daruri at gmail.com | Student Branch Chair|VITC -
IEEE SB


*“If you love what you do and are willing to do what it takes, it’s within
your reach.” Steve Wozniak*




On Tue, Mar 17, 2020 at 3:53 AM Marcus Edel <marcus.edel at fu-berlin.de>
wrote:

> 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 : *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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