[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
ComfyUI's Photoshop-like layered canvas editor to your ComfyUI workflow. This node is perfect for complex compositing, inpainting, and outpainting, featuring multi-layer support, masking, blend modes, and precise transformations. Includes optional AI-powered background removal for streamlined image editing.
Bria RMBG 2.0 - image background removee
Background removal that keeps what matters: glass, camouflage, text, glow and line art. BiRefNet fine-tune, MIT.
[ICCV'2025] LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
Python GUI for Interactive Image Background Removal using locally running AI point and click models such as Segment Anything and automatic whole-image models such as BiRefNet and Rembg
The cpp inference of BiRefNet based on Tensorrt.
免费、注重隐私的在线 AI 图像处理工具箱（包含一键抠图、去水印、老照片修复等）。无水印，免注册。| A free, privacy-first online AI image toolkit featuring one-click background removal, watermark remover, and old photo restoration. No signup required. 🔗 https://miaocut.app
BiRefNetのPythonでのONNX変換・推論サンプル
This repository packages the latest BiRefNet model as a ComfyUI node for use, supporting chunked loading on both CPU and GPU, as well as model caching features.
抠图、图片抠图、视频抠图、去背景、背景移除、人像抠图、透明背景, background removal, background remover, remove background, image matting, video matting, image segmentation, image cutout, cut out image, transparent background, portrait cutout, photo background removal, foreground extraction, BiRefNet
A high-performance C++ implementation of the BiRefNet , optimized for real-time, high-resolution dichotomous image segmentation.
AI-assisted lasso selection plugin for Krita that creates soft alpha object masks locally.
Background Removal Application using BiRefNet
High-precision local background removal using BiRefNet. A dual-mode CLI and Streamlit implementation designed for secure, high-resolution image processing without third-party data storage
The AI Image Editor of 2030
End-to-end system for generating compliant ID photos from user uploads, featuring a production-style workflow from raw images → segmentation/matting → face-aligned cropping → background synthesis → standardized outputs via API + Web UI.
Brainiall Image APIs — Background removal (BiRefNet), Image upscaling (Real-ESRGAN), Face restoration (GFPGAN). GPU-accelerated, production-ready.
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