diffseg VS image-background-remove-tool

Compare diffseg vs image-background-remove-tool and see what are their differences.

diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption. (by google)
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diffseg image-background-remove-tool
1 16
216 1,249
7.4% -
5.5 5.7
14 days ago 20 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
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image-background-remove-tool

Posts with mentions or reviews of image-background-remove-tool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

What are some alternatives?

When comparing diffseg and image-background-remove-tool you can also consider the following projects:

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

ttach - Image Test Time Augmentation with PyTorch!

QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU

PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

transparent-background - This is a background removing tool powered by InSPyReNet (ACCV 2022)

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Visual Studio Code - Visual Studio Code

sd-webui-segment-anything - Segment Anything for Stable Diffusion WebUI