<p>You could try something like this: <a href="https://arxiv.org/pdf/1412.7725.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1412.7725.pdf</a>. But with deep learning and your amount of training data you can problem get any big enough model to work well.</p>
Generate photos based on over 1M protos processed by ourselves before
<p>We are running a huge team that process child photos for our customers, the team processes over 1M photos per year.</p>

<p>The process includes basic tuning of light, resize, apply some filters to make the skin looks better.</p>

<p>We want to use deep learning to complete the jobs as much as possible. Which means I want to choose one model and train that model using our existing data. And then use the trained model to generate photos by inputing the new unprocessed photos.</p>

<p>Is there existing model that I can make use of, or any papers have covered this scenario?</p>

<p>Any help would be appreciated, thanks!</p>