# Visual masking software

> AI-ranked search results for `visual masking systems` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 117 total matches; showing the top 10.

Explore on the web: https://awesome-repositories.com/q/visual-masking-systems

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## Results

- [bing-su/adetailer](https://awesome-repositories.com/repository/bing-su-adetailer.md) (4,763 ⭐) — Adetailer is a Stable Diffusion inpainting extension and automated detail enhancer that identifies specific image regions to improve quality through targeted inpainting. It functions as an AI image masking tool that uses detection models to create precise masks for automated image editing.

The system distinguishes itself by integrating structural guides, such as depth and pose, to constrain the inpainting process and maintain anatomical consistency. It also supports object-specific prompt assignment, allowing unique text instructions to be mapped to multiple detected objects within a single i
- [advimman/lama](https://awesome-repositories.com/repository/advimman-lama.md) (10,056 ⭐) — Lama is an image restoration framework and deep learning model designed for image inpainting and object removal. It provides the tools necessary to train and evaluate neural networks that fill masked areas and repair corrupted visual data.

The system utilizes a Fourier convolution neural network to maintain global image structure and reconstruct periodic patterns. This architecture allows for resolution-independent inference, enabling the processing of high-resolution images without increasing memory or computational requirements.

The project includes a synthetic dataset generator that creat
- [yaofanguk/video-subtitle-remover](https://awesome-repositories.com/repository/yaofanguk-video-subtitle-remover.md) (11,493 ⭐) — This project is a local AI inpainting tool designed to erase hard-coded subtitles and watermarks from videos and images. It functions as a content-aware media restorer that uses deep learning to reconstruct missing pixels and preserve the original resolution of the source files.

The software is distinguished by its local execution model, running inference on host hardware to process media without relying on external cloud APIs. It employs content-aware model selection, allowing the use of different generative algorithms based on media types, such as animation or live action, to optimize visua
- [geekyutao/inpaint-anything](https://awesome-repositories.com/repository/geekyutao-inpaint-anything.md) (7,642 ⭐) — Inpaint-Anything is a diffusion-based image editor and inpainting tool designed to remove or replace objects in images, videos, and 3D scenes. It functions as a text-guided manipulator that uses natural language descriptions and mask-based filling to modify visual content.

The system provides specialized capabilities for multi-view 3D scene editing and video object removal. It tracks selected objects across multiple frames or perspectives to synthesize consistent backgrounds and maintain spatial coherence after an element is removed.

The tool covers a range of image manipulation tasks, inclu
- [lxfater/inpaint-web](https://awesome-repositories.com/repository/lxfater-inpaint-web.md) (5,834 ⭐) — A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。|   基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。
- [sanster/lama-cleaner](https://awesome-repositories.com/repository/sanster-lama-cleaner.md) (23,235 ⭐) — Lama Cleaner is an AI-powered image editing application focused on inpainting, object removal, and generative filling. It provides a suite of tools for erasing unwanted elements from photos and filling the resulting gaps using generative artificial intelligence.

The project includes specialized capabilities for image outpainting to extend borders, background removal through object segmentation, and face restoration to fix visual defects. It also features an image upscaler to increase resolution and clarity via super-resolution AI, as well as a Stable Diffusion-based editor for replacing speci
- [cybertimon/rapidraw](https://awesome-repositories.com/repository/cybertimon-rapidraw.md) (5,234 ⭐) — RapidRAW is a non-destructive RAW photo editor and digital asset manager designed for decoding manufacturer RAW formats and applying tonal and color adjustments. It functions as a professional image processor that ensures original source data remains unmodified by saving all edits, masks, and crops to sidecar files.

The software features a specialized color grading suite using 3D LUTs, color wheels, and HSL mixers, alongside AI-powered utilities for subject isolation, automatic masking, and generative inpainting for object removal. It distinguishes itself with AI-assisted photo retouching and
- [youyuge34/anime-inpainting](https://awesome-repositories.com/repository/youyuge34-anime-inpainting.md) (1,128 ⭐) — Anime-InPainting is a specialized software platform designed for the restoration of anime illustrations and digital artwork. It functions as a deep learning-based image editor that utilizes generative models to repair damaged or incomplete images, remove unwanted artifacts, and eliminate visual blemishes such as mosaics.

The project distinguishes itself through an edge-guided generative approach, which uses structural edge maps to ensure that reconstructed regions maintain visual and spatial consistency with the surrounding image. Users can interact with the restoration process through a grap
- [chaoningzhang/mobilesam](https://awesome-repositories.com/repository/chaoningzhang-mobilesam.md) (5,795 ⭐) — MobileSAM is a lightweight image segmenter and promptable vision model designed for fast object isolation on resource-constrained hardware. It functions as an automatic image masking tool capable of detecting and isolating distinct objects across an entire image without manual input.

The system enables prompt-based object masking using coordinate points or bounding boxes to generate precise masks. It also supports all-object image segmentation through object-aware prompt sampling to identify every distinct object in a scene.

To facilitate mobile and edge deployment, the model is compatible w
- [sanster/iopaint](https://awesome-repositories.com/repository/sanster-iopaint.md) (23,244 ⭐) — IOPaint is an AI image editor and Stable Diffusion inpainting tool providing a web interface for removing objects and replacing image content. It utilizes latent diffusion image processing to synthesize high-resolution replacements for erased sections of an image.

The project features a specialized AI background remover for isolating subjects and an AI image upscaler that employs super-resolution models for general photos and anime artwork.

The software covers a broad range of capabilities including image segmentation for object isolation, face restoration for improving facial details, and t
