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Hey everyone, I'm starting to work on some StyleSynthesis projects with a small team, and I'm curious about best practices for collaboration in this specific area. We're using a mix of PyTorch and TensorFlow, and version control through Git.
I'm particularly interested in how others handle things like consistently applying style representations across different team members' models. Are there established methods for ensuring everyone is working with effectively the same "style vocabulary"? Also, how do you manage the inherent subjectivity that can creep in when defining and evaluating stylistic qualities? Do you use specific metrics, or stick to more qualitative assessments, and how do you keep everyone aligned? any tips on efficiently sharing and reusing pre-trained style encoders would be greatly appreciated. Thanks in advance!