Semantic-Guided Low-Light Enhancement — Context-Aware Brightness in One Pass
Now available on AIOZ AI V1—the collaborative marketplace powered by AIOZ DePIN—the Semantic-Guided Low-Light Enhancement model brightens low-light images without compromising natural colours or detail.
This model operates by incorporating semantic cues into the enhancement pipeline, ensuring that faces, signs, and key objects remain clear and natural, rather than appearing washed out.
Try it now:
https://aiozai.network/models/a65d7bd6-0dd8-4c06-a41e-f6f0df97c57d
How It Works
- Enhancement-factor extractor learns a per-pixel brightness curve.
- Recurrent refinement progressively cleans and denoises the image.
- Unsupervised semantic segmentation guides each pass, ensuring key regions retain their true tones.
- Input: one low-light image (PNG / JPG / JPEG)
- Output: Enhanced PNG with more clarity, brightness, and preserved tone
Ideal Use Cases
- Night photography and mobile snapshots
- Footage from CCTV, drones, or dash cams shot in poor light
- Pre-processing for vision models that struggle with dark inputs
License
Released under Apache-2.0, based on work of ShenZheng2000.
Get started
Unlock Semantic-Guided Low-Light Enhancement on AIOZ AI V1, feed it a dim photo, and watch the scene come to life.
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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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