AniSD
The AniSD release is an experimental ArtCNN shader model for standard-definition anime content.
About AniSD
AniSD ArtCNN is an experimental GLSL shader model trained on a mini version of the original AniSD dataset using the ArtCNN architecture. It is for standard-definition anime content, cleaning up and deblurring video during playback without upscaling ahead of time, with real-time inference on lower-end devices.
It is constrained by shader limitations, with loss of fidelity in subtle details and lower overall quality than heavier models. The release notes list about 47K parameters, compared with 600K+ for Compact.
Key features
- GLSL shader model for standard-definition anime content
- Real-time inference on lower-end devices
- Cleans up and deblurs standard-definition anime
- Works without upscaling ahead of time
- Trained on mini version of original AniSD dataset
- Uses ArtCNN architecture with ~47K parameters
Best for: People watching standard-definition anime on lower-end devices who want real-time cleanup without pre-upscaling.
Good for
- Real-time inference on lower-end devices
- Cleans up and deblurs standard-definition anime without advance upscaling
Watch out for
- Loss in fidelity, usually in subtle details
- Reduced overall quality compared to heavier models
- Less potent than larger AniSD counterparts
AniSD at a glance
- Category
- Software & Utilities › Media Players & Servers
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Media Players & Servers
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