CPGAN :  An Efficient Architecture Designing for Text-to-Image Generative Adversarial Networks Based on Canonical Polyadic Decomposition

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Model</td><td class="align_center" colspan="2">Oxford-102</td><td class="align_center" colspan="2">CUB</td><td class="align_center" rowspan="2">Flops</td><td class="align_center" rowspan="2">#Parameters</td></tr><tr class="thead"><td class="align_center">FID</td><td class="align_center">IS</td><td class="align_center">FID</td><td class="align_center">IS</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Original</td><td class="align_center">79.55</td><td class="align_center">2.66 ± 0.03</td><td class="align_center">68.79</td><td class="align_center">2.88 ± 0.04</td><td class="align_center"><span style="width: 57.257ptpx;"><svg height="11.9413pt" id="M109" style="vertical-align:-0.3499002pt" version="1.1" viewbox="-0.0498162 -11.5914 57.257 11.9413" width="57.257pt" 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class="align_left">Redesigned</td><td class="align_center">74.40</td><td class="align_center">3.68 ± 0.08</td><td class="align_center">65.94</td><td class="align_center">5.03 ± 0.07</td><td class="align_center"><span style="width: 57.257ptpx;"><svg height="11.9413pt" id="M111" style="vertical-align:-0.3499002pt" version="1.1" viewbox="-0.0498162 -11.5914 57.257 11.9413" width="57.257pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"></path></g><g transform="matrix(.013,0,0,-0.013,9.204,0)"><path 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<div>Comparison between our model and the original model.</div>

Scientific Programming

tab2

Table 2

Table 2: CPGAN :  An Efficient Architecture Designing for Text-to-Image Generative Adversarial Networks Based on Canonical Polyadic Decomposition 