# FA-VTON: A Feature Alignment-Based Model for Virtual Try-On
## 5 Experiments
### Ablation Study  
We conducted ablation experiments to validate the effectiveness of our designed feature extraction module, the try-on image generation module, and channel-wise knowledge distillation. We compared the performance with and without the FASM in both the clothing feature extraction module and the human body feature extraction module, demonstrating how the features from the first stage gradually influence the final try-on results. We visualized the feature maps of the last layer and obtained grayscale images by compressing the color channels. As shown in Figure 12, the first two columns are the model inputs, and columns 3 to 8 show the comparisons with and without the FASM. In the first row, the impact of the human body feature extraction map on garment warping and try-on image generation is explained. It can be seen that without adding the FASM, the model fails to learn the contour information of the human body, especially around the right shoulder, resulting in excessive deformations at the edges by the subsequent garment warping module. The coarse-to-fine warping module aggravates the erroneous effects, resulting in excessively deformed garments in the final try-on image. In contrast, the model using the FASM can extract boundary information well, providing more reasonable information for subsequent warping and generating more realistic try-on images. The second row in Figure 12 illustrates the impact of the garment feature extraction map on garment warping and try-on image generation. It is evident that with the FASM, the model can effectively learn the boundaries of the garment. Due to the irregularities in garment design, their layout images may reveal fabric areas that are unnecessary for the try-on images, posing a challenge to whether the model can correctly retain the corresponding garment areas. The feature maps generated by the traditional feature extractor cannot distinguish between the front and back of the garment, while our model can effectively identify the garment shapes and guide subsequent garment warping. Furthermore, we specifically decomposed the FASM for qualitative comparisons. As shown in Table 2, we evaluated three metrics of the final gene \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Dataset** & \multicolumn{2}{c}{**VITON**} & \multicolumn{4}{c}{**VITON-HD**} \\ \hline
**Method** & **SSIM**\(\uparrow\) & **FID**\(\downarrow\) & **LPIPS**\(\downarrow\) & **SSIM**\(\uparrow\) & **FID**\(\downarrow\) & **LPIPS**\(\downarrow\) \\ \hline ACGPN & 0.69 & 16.64 & 0.226 & 0.78 & 14.99 & 0.170 \\ PF-AFN & 0.79 & 10.09 & 0.213 & 0.69 & 25.44 & 0.229 \\ SDANFN & 0.78 & 9.42 & 0.228 & 0.82 & 9.97 & 0.113 \\ FS-VION & 0.85 & 8.89 & 0.200 & 0.83 & 10.00 & 0.102 \\ DM-VTON & 0.81 & 10.57 & 0.213 & 0.82 & 11.81 & 0.125 \\ Ours & **0.86** & **8.72** & **0.184** & **0.85** & **9.53** & **0.096** \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Quantitative results of different models on the VITON and VITON-HD datasets. For SSIM, the higher is the better. For FID and LPIPS, the lower is the better. Figure 12: The ablation study of the FASM. only adding the FSM, only adding the FAM, and adding both parts. It can be observed that the image quality is higher when both modules are added compared to when only one module is added. We also conducted ablation experiments on the ECA module. As shown in Figure 13, we can observe that adding the ECA module can make the synthesized images more realistic, while also mitigating, to some extent, the unreasonable results caused by deformation errors. As shown in Table 3, after adding the ECA module, the two metrics--FID and LPIPS--are all superior to those of the model without the ECA module. \begin{table}
\begin{tabular}{c c c c} \hline  & **SSIM**\(\uparrow\) & **FID**\(\downarrow\) & **LPIPS**\(\downarrow\) \\ \hline FAM & 0.857 & 8.86 & 0.193 \\ FSM & 0.855 & 8.99 & 0.196 \\ FAM + FSM & **0.860** & **8.82** & **0.189** \\ \hline \end{tabular}
\end{table} 
Table 2: Comparing the results with only the FAM, FSM, and FAM + FSM.