pytorch/examples

Is total variation loss necessary in fast_neural_style?

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#278 创建于 2018年1月3日

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描述

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.

贡献者指南

技术栈
pythonpytorch
领域
machine learningai
议题类型
research
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
basic knowledge of neural style transferPyTorch basics
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
Investigate the fast neural style example in pytorch/examples. Compare the implementation with the original torch version referenced in the paper. Check if total variation loss is absent and whether it affects results. Answer the question by examining the code and possibly running experiments.
Is total variation loss necessary in fast_neural_style? · pytorch/examples#278 | Good First Issue