ViTAE-Transformer/ViTAE-Transformer-Matting
A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Note: The repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving" has been moved to: https://github.com/ViTAE-Transformer/P3M-Net
This project helps graphic designers, photo editors, and visual content creators precisely extract foreground objects from images, even with intricate details like hair or fur. You provide an image and, optionally, a natural language description, and it outputs an 'alpha matte' that cleanly separates the object from its background. This allows for seamless background changes or object isolation.
230 stars. No commits in the last 6 months.
Use this if you need to accurately separate foreground subjects from backgrounds in photos for editing, compositing, or visual effects.
Not ideal if you're looking for a simple, one-click background removal tool that doesn't require precise control or nuanced results.
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Last pushed
Apr 11, 2023
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