GFM

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GFM is an Open Source image matting tool that bridges composite and real images for end-to-end deep image matting. It provides code, datasets, and pretrained models for research and development.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is GFM?

GFM, or Glance and Focus Matting network, is an open-source implementation of the paper "Bridging Composite and Real: Towards End-to-end Deep Image Matting." This tool is designed for deep image matting, employing a shared encoder and two separate decoders to collaboratively learn matting tasks. It introduces a novel Animal Matting dataset (AM-2k) and a large-scale high-resolution background dataset (BG-20k) to address domain gap issues between composite and natural images. GFM offers training and testing code, pretrained models, and a Google Colab demo for easy online experimentation, making it valuable for researchers and developers in computer vision and image processing.

Best used for

Ideal for computer vision researchers and developers who need to implement and experiment with advanced image matting techniques, utilize specialized animal and background datasets, and leverage pre-trained models for their projects. Especially valuable for those working on end-to-end deep image matting.

Common actions

perform image matting

research deep learning

process animal images

develop computer vision models

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Capabilities

Key features

End-to-end deep image matting
Glance and Focus Matting network
AM-2k animal matting dataset
BG-20k background dataset
Pretrained models available
Google Colab demo

Target Audience

computer vision researchersmachine learning engineersimage processing developersacademics

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary purpose of the GFM tool?

GFM is designed for end-to-end deep image matting, bridging the gap between composite and real images. It provides a novel network architecture, Glance and Focus Matting (GFM), along with specialized datasets and pre-trained models to facilitate research and development in this area.

What datasets are provided with GFM?

GFM includes two key datasets: AM-2k, which contains 2,000 high-resolution natural animal images with manually labeled alpha mattes, and BG-20k, comprising 20,000 high-resolution background images. These datasets are crucial for training and evaluating deep image matting models.

Can I try GFM without setting up a local environment?

Yes, GFM offers a Google Colab demo that allows users to try the tool online without needing to set up a local environment or have GPUs. This provides an easy way to generate results for your own images using the pre-trained models.

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