d71a4a6c796cacd9b8a298589943cdf3-Supplemental-Conference.pdf

The codes related todataset, model, loss, training pipeline and experiment areenclosed. Cross-Domain MAFLAFLWMAFLWR 300W Supervised learning TCDCN[13] XX 7.95 7.65 - 5.54 MTCNN[12] XX 5.39 6.90 - WingLoss[3] XX - - - 4.04 Generative modeling based DeformingAE[9] OX 5.45 - - ImGen.[4] After the initialization period, the intra pseudo-paired dataxd1)d1, xd2)d2 and inter pseudo-paired dataxd1)d2,xd2)d1 aregenerated with latent space exploration described atSection 3.2. Atlastsemanticmatchingloss LM are utilized to get intra semantic matching lossLM1 and inter semantic matching lossLM2. We provide more examples of pseudo-paired data on various combinations of original and pair domainsinFig.3.