Windaway / tempaem

AEMatter

Repository for the paper Rethinking Context Aggregation in Natural Image Matting

Requirements

Hardware:

GPU memory >= 10GB for inference on the Adobe Composition-1K testing set.

Packages:

• torch >= 1.10
• numpy >= 1.16
• opencv-python >= 4.0
• einops >= 0.3.2
• timm >= 0.4.12

Models

Quantitative results on Adobe Composition-1K

Model Name	Size	MSE	SAD	Grad	Conn
AEMatter	195MiB	2.26	17.53	4.76	12.46
AEMatter+TTA	195MiB	2.06	16.89	4.24	11.72
AEMatter (RWA)	195MiB	-	-	-	-

Quantitative results on Transparent-460

Model Name	Size	MSE	SAD	Grad	Conn
AEMatter	195MiB	6.92	122.27	27.42	112.02

Quantitative results on AIM-500

Model Name	Size	MSE	SAD	Grad	Conn
AEMatter	195MiB	11.69	14.76	11.20	14.20

Evaluation

We provide the script eval.py for evaluation.