Image Super-Resolution with SMFANet — High-Quality Image Upscaling in One Pass
Now available on AIOZ AI V1, our collaborative DePIN-Powered AI Marketplace, the Image Super-Resolution with SMFANet model transforms low-resolution images into sharp, detailed visuals - fast, and in a single pass.
Built on the Self-Modulation Feature Aggregation Network (SMFANet) architecture — a lightweight self-modulation feature aggregation network — this model delivers high performance with minimal computational overhead.
Recent advancements in AI imaging have driven its integration into the AIOZ ecosystem, offering a practical tool for real-world applications.
Try it now:
https://aiozai.network/models/f4320872-a486-4755-aeaf-38ab82565b09
How It Works
The enhancement process begins with the extraction of shallow features from the input image, followed by modulation through advanced self-modulation feature aggregation blocks.
A lightweight reconstruction module then refines the output, ensuring crisp details and natural colors.
This efficient pipeline allows the model to upscale images in a single pass, making it both fast and effective.
- Input: One low-resolution image (PNG / JPG / JPEG)
- Output: Enhanced PNG with improved clarity, detail, and preserved tones
Ideal Use Cases
- Night photography and mobile snapshots
- Low-resolution CCTV, drones, or dash cam footage
- Pre-processing for vision models requiring high-quality inputs
License
Released under Apache-2.0, based on work by Zheng-MJ and collaborators.
Get Started
Unlock the power of Image Super-Resolution with SMFANet on AIOZ AI V1, and watch it transform a low-resolution photo into a high-definition masterpiece.
About the AIOZ Network
AIOZ Network is a DePIN for Web3 AI, Storage, and Streaming.
Powered by a global community of AIOZ DePINs, AIOZ rewards you for sharing your computational resources for storing, transcoding, and streaming digital media content and powering decentralized AI computation.
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