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

Table 1

Experimental results of different rank ratios for the CPGAN in Oxford-102.

Ratio	FID	IS	Flops	#Parameters
0.1	158.74	3.26 ± 0.05
0.2	98.06	3.43 ± 0.06
0.3	85.08	2.98 ± 0.05
0.4	81.17	2.96 ± 0.04
0.5	74.69	3.04 ± 0.05
0.6	77.59	3.54 ± 0.06
0.7	76.50	2.80 ± 0.06
0.8	79.04	3.56 ± 0.05
0.9	76.97	3.17 ± 0.05
1.0	77.07	3.23 ± 0.05