The Feyn team has introduced the cutting-edge background removal model FeyNoBg and open-sourced the NoBg training and inference library. Based on the BiRefNet architecture with deep optimization, it enhances the key feature extraction module, improving the precise handling of edge details such as hair and sheer fabrics, providing a lightweight and efficient segmentation solution.
Figma launched an integrated AI image editing tool, adding three new features: Remove Object, Isolate Object, and Expand Image. It consolidates existing tools such as background removal, covering common editing needs. Designers no longer need to switch software, significantly improving their work efficiency.
Figma introduces AI image editing features: lasso tool for object removal/isolation, auto background expansion, and lighting/color adjustments without text prompts. Lasso 2.0 allows direct deletion or dragging of selected objects while preserving the background. These tools will debut in Figma Design and Draw, with full platform rollout next year.....
Google's AI tool Flow adds image editing with Gemini2.5 Flash, enabling background removal, subject isolation, and scene replacement via natural language commands. It generates 8-second dynamic shots, available for free and paid users at $0.039 per image, with enterprise access on Vertex AI.....
AI video background removal tool. No green screen is required. You can upload a video and get a transparent background within minutes.
AI online removal of hard subtitles and watermarks from videos, automatic background repair, no installation or login required.
AI-based platform for image and video generation and editing using multiple models, supporting one-click background removal, background change, and text generation.
Free online PS editor, supporting layers, AI background removal, etc., no download or registration required.
Alibaba
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Input tokens/M
Output tokens/M
Context Length
Bytedance
Acly
BiRefNet is a deep learning model for binary image segmentation, specifically designed for background removal tasks. This model has been converted to the GGUF format and can perform lightweight inference on consumer-grade hardware through vision.cpp, enabling efficient image segmentation processing.
wuchendi
MODNet is a real-time trimap-free portrait matting model capable of efficient image segmentation and background removal.
ZhengPeng7
BiRefNet is a model for high-resolution binary image segmentation, particularly skilled in anime segmentation and background removal tasks.
Pushti
BiRefNet is a bilateral reference framework model for high-resolution binary image segmentation, focusing on tasks such as background removal and mask generation, supporting image processing at resolutions of 2048x2048 and above.
cocktailpeanut
BRIA RMBG v2.0 is a state-of-the-art background removal model, designed for efficiently separating foreground and background in various types of images, suitable for non-commercial use.
BiRefNet is an advanced model for high-resolution binary image segmentation, particularly adept at background removal and mask generation tasks.
BiRefNet is a deep learning model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.
BiRefNet is a bilateral reference framework model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.
briaai
The latest background removal model developed by BRIA AI, capable of effectively separating foreground and background in various images, suitable for large-scale commercial content creation scenarios.
BiRefNet is a high-resolution binary image segmentation model based on bilateral reference, focusing on background removal and mask generation tasks.
A bilateral reference framework for high-resolution binary image segmentation, focusing on background removal and mask generation tasks
BiRefNet is a high-resolution binary image segmentation model based on bilateral reference, specifically designed for background removal and mask generation tasks.
High-resolution binary image segmentation model based on bilateral reference, focusing on salient object detection and background removal tasks
OwlMaster
An efficient background removal model developed by BRIA AI, suitable for separating foreground and background in various types of images
BiRefNet is a deep learning model for high-resolution binary image segmentation, particularly skilled in background removal and mask generation.
BiRefNet is a high-resolution binary image segmentation model, focusing on background removal and mask generation tasks.
BRIA RMBG v1.4 is an advanced background removal model designed for efficiently separating foreground and background in various types of images, suitable for non-commercial use.
A logo generation server based on FAL AI, providing image generation, background removal, and automatic scaling functions.
An image processing server based on the MCP protocol that enables professional - level image editing functions through natural language instructions, including generation, modification, background removal, and hosting services.
The GIMP-MCP project aims to integrate GIMP with AI models through the Model Context Protocol (MCP), providing intelligent image editing functions such as background removal and image repair.
Sharp MCP is an image processing server based on the Model Context Protocol, providing functions such as image session management, dimension acquisition, color extraction, background removal, region cropping, and image compression.
The Scenario.com MCP Server project provides API services for text-to-image generation and image background removal.
This project is an MCP server based on the Scenario.com platform, providing text - to - image generation and image background removal functions, including a complete development environment configuration, sample code, and test scripts.
An MCP server based on the rembg background removal library that provides image background removal functions for tools such as Claude through AI models. It supports multiple models and batch processing.
This is an MCP server project that integrates Stability AI's image generation and editing functions. It实现 high - quality image generation, background removal, extended painting, object replacement, image enlargement and other functions through the API, and supports seamless docking with MCP clients such as Claude.
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