Dear Readers,
This is part II of my December 2021 updates. In this post, I'll reflect on the actual results of my newer machine learning model and thoughts/ideas this work has sparked.
In the previous post I explained how my original model used transfer learning and was not purely trained on my own data. So I spent this Fall training my own model from scratch only on my family photos. Below are some results.
Below are some comparisons between my old and new model (a quick note: the old model was trained a bit further since my original post about this project). The differences are slight but, in my opinion, important. I do feel a greater sense of familiarity when I look at the new model's generated output.
I think I wrote about this in my original post, but I really feel like these images, through their similarity and in their differences, feel metaphorically rich for thinking about memory as a proxy to reality. Our memories of each other are skewed by our own emotion, subjectivity, and experiences. In this way they become generative.
But something new I've been thinking about looking at these images, is the idea of multiples and layering.
Below are generated images surrounding a real photograph of my mother. The generated images were labeled as similar to my mother's face by a facial recognition algorithm -- but I also took a secondary pass with my own judgment.
Some of these generated faces look more or less like my mom to me. But also some of these generated faces look more like her in specific parts of her life (as a child, as a teen, in the 90's, now, etc). This made me think about a person -- or at least the memory of a person -- as a layering of different perspectives.
One's own memory of themselves can also exist in a multitude. It can change over time, multiply, iterate. Sometimes old photos of us even look unrecognizable as we grow and bring new perspectives to viewing the past.
And in thinking about collective memory, we each bring our own perspective into our memory of a person. For example, My partner, my parents, my friends, my neighbor -- they all have different images in their mind of who I am. And all of these Aaratis might have similarities but would also be different. The real Aarati, I think, would be somewhere in the composite of these images.
This idea of layering also makes me think about current camera technology. For example, when we take a photograph with an iphone, the camera does not actually take a single image of one moment, but rather takes several photographs and composites them together to make the final image. This is called Epsilon Photography.
The photograph becomes, not a single moment in time, but a collage of perspectives. And in that way can also be considered a collapsing of time.
I also think about the aesthetic of layering. The more I layer, the more things seem to come into focus. But there is also a beauty in misregistration. I'm thinking of recent CMYK risograph experiments with these images and how looking at them feels like you can simultaneously see the layers as parts and the image as a whole.
This is an idea I'd like to carry into the next phase when I start to think about form for this project. I also haven't even spoken about the interviews and comments I've been collecting from family members around this work. But I think that will all fall into place with time.
I'll leave it here for now. As always, thank you for reading and I hope you all have a peaceful and restful end to 2021.
In gratitude,
Aarati