--- title: "ailia-models vs RobustVideoMatting" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-peterl1n-robustvideomatting" tools: ["ailia-ai-ailia-models", "peterl1n-robustvideomatting"] --- # ailia-models vs RobustVideoMatting *GraphCanon updated Aug 22, 2026* ## Verdict Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick RobustVideoMatting if robustVideoMatting is a deep-learning-based video matting tool using recurrent neural networks for real-time processing on videos with temporal memory. [ailia-models](https://github.com/ailia-ai/ailia-models) reports 2.4k GitHub stars, 363 forks, and 321 open issues, last pushed Aug 21, 2026. [RobustVideoMatting](https://peterl1n.github.io/RobustVideoMatting/) has 9.5k stars, 1.2k forks, and 122 open issues, last pushed Apr 2, 2024. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [RobustVideoMatting's repository](https://github.com/PeterL1n/RobustVideoMatting). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [RobustVideoMatting](/tools/peterl1n-robustvideomatting.md) | | --- | --- | --- | | Tagline | Repository of pre-trained AI models for ailia SDK | Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML | | Stars | 2,365 | 9,452 | | Forks | 363 | 1,199 | | Open issues | 321 | 122 | | Language | Python | Python | | Adopt for | Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. | RobustVideoMatting is a deep-learning-based video matting tool using recurrent neural networks for real-time processing on videos with temporal memory. | | Persona | - | - | | Runtime | - | - | | License | - | GPL-3.0 | | Categories | Computer Vision, Model Training, Speech & Audio | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [RobustVideoMatting](/tools/peterl1n-robustvideomatting.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 849d | | Open issues (now) | 321 | 122 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/ailia-ai-ailia-models/trust.md) | [trust report](/tools/peterl1n-robustvideomatting/trust.md) | ## Decision facts: ailia-models - **Adopt for:** Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. ## Decision facts: RobustVideoMatting - **Hosting:** self hosted - **Pricing:** freemium - The tool is freely available under GPL-3.0, with no associated costs. - **Requirements:** A relevant inference framework such as PyTorch or TensorFlow must be installed.; The tool requires a GPU for optimal performance, particularly for handling high-resolution videos. - **Adopt for:** RobustVideoMatting is a deep-learning-based video matting tool using recurrent neural networks for real-time processing on videos with temporal memory. - **License detail:** GPL-3.0 ## Choose when ### Choose ailia-models if… - Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal. - Also covers Model Training, Speech & Audio. - When developing apps that integrate with the ailia SDK ### Choose RobustVideoMatting if… - Pricing: The tool is freely available under GPL-3.0, with no associated costs.. - Requirements: A relevant inference framework such as PyTorch or TensorFlow must be installed.; The tool requires a GPU for optimal performance, particularly for handling high-resolution videos.. - Tags unique to RobustVideoMatting: ai, computer-vision, machine-learning, matting. - When working with human video matting that requires high frames per second, as it can achieve 4K 76FPS and HD 104FPS on Nvidia GTX 1080 Ti GPU. ## When NOT to use ailia-models - If your project does not align with ailia SDK or its specific model categories - When you require customization beyond what is offered by pre-trained models in this repository ## When NOT to use RobustVideoMatting - If you require matting capabilities that do not focus on human-like targets, as RVM is specifically designed with this in mind. - In scenarios where a model smaller than the MobileNetv3 or ResNet50 options provided by the tool cannot be used due to memory constraints or speed requirements. ## Common questions ### What is the difference between ailia-models and RobustVideoMatting? ailia-models: Repository of pre-trained AI models for ailia SDK. RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML. See the comparison table for live GitHub stats and shared categories. ### When should I choose ailia-models over RobustVideoMatting? Choose ailia-models over RobustVideoMatting when Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Model Training, Speech & Audio; When developing apps that integrate with the ailia SDK. ### When should I choose RobustVideoMatting over ailia-models? Choose RobustVideoMatting over ailia-models when Pricing: The tool is freely available under GPL-3.0, with no associated costs.; Requirements: A relevant inference framework such as PyTorch or TensorFlow must be installed.; The tool requires a GPU for optimal performance, particularly for handling high-resolution videos.; Tags unique to RobustVideoMatting: ai, computer-vision, machine-learning, matting; When working with human video matting that requires high frames per second, as it can achieve 4K 76FPS and HD 104FPS on Nvidia GTX 1080 Ti GPU. ### When should I avoid ailia-models? If your project does not align with ailia SDK or its specific model categories When you require customization beyond what is offered by pre-trained models in this repository ### When should I avoid RobustVideoMatting? If you require matting capabilities that do not focus on human-like targets, as RVM is specifically designed with this in mind. In scenarios where a model smaller than the MobileNetv3 or ResNet50 options provided by the tool cannot be used due to memory constraints or speed requirements. ### Is ailia-models or RobustVideoMatting more popular on GitHub? RobustVideoMatting has more GitHub stars (9,452 vs 2,365). Stars measure visibility, not whether either tool fits your constraints. ### Are ailia-models and RobustVideoMatting open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ailia-models or RobustVideoMatting? GraphCanon lists graph-backed alternatives at [ailia-models alternatives](/tools/ailia-ai-ailia-models/alternatives) and [RobustVideoMatting alternatives](/tools/peterl1n-robustvideomatting/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [RobustVideoMatting markdown twin](/tools/peterl1n-robustvideomatting/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/ailia-ai-ailia-models-vs-peterl1n-robustvideomatting.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ailia-models or RobustVideoMatting? ailia-models: Very active. RobustVideoMatting: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ailia-models and RobustVideoMatting? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ailia-models trust report](/tools/ailia-ai-ailia-models/trust); [RobustVideoMatting trust report](/tools/peterl1n-robustvideomatting/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ailia-ai-ailia-models`](/api/graphcanon/graph?tool=ailia-ai-ailia-models) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_