pytorch/examples

Is total variation loss necessary in fast_neural_style?

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#278 opened on Jan 3, 2018

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Description

I notice that there is no total variation loss regularization implemented in the example of fast_neural_style. But the paper declared it and their torch version use it. I'm wondering if total variation loss is necessary or not in style transfer.

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Research direction
Read the original style transfer paper and the torch implementation to understand the role of total variation loss, then compare with the current example to determine if it is necessary or if there are alternative regularization methods.
Tech stack
pythonpytorch
Domain
computer visionmachine learning
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
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Active
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Clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70