Explained - Neural Style Transfer Research Paper

#machinelearning #deeplearning #computervision #neuralnetworks #ai
Neural Style Transfer refers to a class of software algorithms that manipulate digital images, or videos, to adopt the appearance or visual style of another image. NST algorithms are characterized by their use of deep neural networks in order to perform the image transformation.

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[wartion]

thanks a lot for this video man. your video was really concise and it helped me a lot

[rahulrai]

Very nice and intuitive explanation of the paper Neural style transfer. Thanks a lot

[shaziasaqib]

Thank u for sharing, nice video, helped a lot, keep doing the good work

[sreejithmarkkassery]

I didn't quite get the Style loss part form the original paper... This video made it Thanks

[Revathi_]

could u please provide end to end project explanation of neural network style transfer with a complete website please make a full video

[hamtsammich]

the wave painting is "great wave off kanagawa". I don't recognize the skyline.
<3

[meetpalod]

thanks for the simple explanation. :-D

[shrishkulkarni]

Thanks for this any idea on neutal style transfer for videos or live

[tahabinhuraib]

Thanks for the video! I just have a question, dont we have to calculate the Gram matrix for the Ai using SUM(dot(P_ik, P_jk) in order to compare the differences in the styles?

[anmolrastogi]

Could you add citations to the papers you have read/analysed.

[-pe]

hello, i have a question.
so since we want the content of the image, why don't we choose the top most layer instead of a middle layer of the network?
thanks in advance

[mastermind]

nice video, can you help me with something? i need to apply neural style transfer on video's background and on its forground another style could you help?

[magelauditore]

The explanation is great, i nearly implemented it. But i am facing issues in understanding gram matrix. can anyone pls clarify. I would be highly grateful for the help. Thanks in advance

[rutwikavhad]

cov 4 and cov 5 has same depth then why are they having different names?? ans

[forever-fzhk]

Sir if I have been asked to build a DL model architecture to:

"Translate the content (texture) from the example face to input face, while retaining the structure and features of the input face.

The translation has to be unsupervised and done via end to end deep learning network and using dense correspondence.:
what should i do..please help sir urgently needed..please