Human Pose Transfer on DeepFashion In-shop Clothes Retrieval (test) benchmark leaderboard · SOTA2 Research

Human Pose Transfer on DeepFashion In-shop Clothes Retrieval (test)

0.79SSIMGFLA

Evaluation Results

Method	Links
GFLA2021.04		0.79	—	10.573	0.2341	96
SPGNet2021.04		0.782	—	12.243	0.2105	97
RATE-Net2020.05		0.78	3.23	18.405	0.243	—
Intr-Flow2021.04		0.778	—	16.314	0.2131	96
XingGAN2021.04		0.778	—	39.322	0.2927	95
BiGraphGAN2021.04		0.778	—	20.951	0.2444	97
RATE-Net2020.05		0.774	3.125	14.611	0.218	—
PATN2020.05		0.773	3.209	19.816	0.253	—
PATN2021.04		0.773	—	20.739	0.2533	96
ADGAN2021.04		0.772	—	14.46	0.2256	96
UV-Net2020.05		0.763	3.44	—	—	—
Def-GAN2021.04		0.76	—	18.475	0.233	94
SPT2020.05		0.736	3.441	—	—	—
DSC2020.05		0.718	2.978	54.789	0.496	—