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metadata
title: MFIR - Multi-Frame Image Restoration
emoji: 🖼️
colorFrom: blue
colorTo: purple
sdk: gradio
app_file: app.py
pinned: false
license: mit
MFIR - Multi-Frame Image Restoration
A deep learning model that combines multiple degraded frames into a single high-quality restored image.
How It Works
- Upload 2-16 frames of the same scene (can have different degradations)
- Select processing size and reference frame
- Click "Restore Image" to get the fused output
Architecture
- Shared Encoder: Extracts features from each frame
- Deformable Alignment: Aligns all frames to reference using learned offsets
- Temporal Attention Fusion: Fuses aligned features using multi-head attention
- Decoder: Reconstructs the final high-quality image
Links
Author
Veli Karaarslan - 2026
License
MIT License