Idea for developers: Use CLIP to steer a differentiable vector graphics generator

This page summarizes the projects mentioned and recommended in the original post on /r/MediaSynthesis

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  • VectorAscent

    Generate vector graphics from a textual caption

  • Alright, just released the code here: https://twitter.com/ajayj_/status/1369202379489378305, https://github.com/ajayjain/VectorAscent. Again, major credit to diffvg, CLIP and PyTorch which are doing the heavy lifting! Should be a lot of knobs to tune to make this better, if only I had the time...

  • stylized-neural-painting

    Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

  • Not exactly what you suggested, but pretty fun! Here's PaintCLIP using https://github.com/jiupinjia/stylized-neural-painting

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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