Digital Image Art Style Transfer Algorithm Based on CycleGAN

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><i>λ</i><sub><i>x</i></sub></td><td class="align_center">10</td></tr><tr><td class="align_left"><i>λ</i><sub><i>c</i></sub></td><td class="align_center">1</td></tr><tr><td class="align_left"><i>λ</i><sub><i>s</i></sub></td><td class="align_center">1</td></tr><tr><td class="align_left"><i>λ</i><sub>gan</sub></td><td class="align_center">1</td></tr><tr><td class="align_left"><i>λ</i><sub>cyc</sub></td><td class="align_center">10</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Loss function weight settings.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Digital Image Art Style Transfer Algorithm Based on CycleGAN 