[P] Homemade algorithm for building faces in < 1 minute with 80 images.

Was inspired by the use of Wasserstein distances to come up with a new method for generating Eg. faces **without** using neural networks.




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[Raw output + noise reduction] https://preview.redd.it/qrld8bpce8291.png?width=285&format=png&auto=webp&s=370318c42ccb763b63aa34e57538da29f7f5a829

https://preview.redd.it/r8babhtex7291.png?width=1090&format=png&auto=webp&s=f6539a7fab8b6d4b169fe0357151fc07d41e106d

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https://preview.redd.it/tunt9vn148291.png?width=1125&format=png&auto=webp&s=b109eeaa2beb7884946637290efbbc3d4bd50672

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**Specifications**

Training data around \~80 pieces of 128x128 images (B/W)

Build time: Fast

RAM usage: Extremely high

Parallelizable: Yes (Step 1 in algorithm) and No (step 2 and step 3 in algorithm)

Scalability: Poor.

**Algorithm used:**

**1) Build dictionary with pool of vectors/fragments from training set**\- …

algorithm building images lt machinelearning