MIRNet and MIRNet-TFJS
These are ecosystem siblings, specifically a TensorFlow implementation (A) and its corresponding TensorFlow.js models (B), allowing the same low-light image enhancement technique to be applied in different environments, such as server-side Python and client-side web browsers, respectively.
About MIRNet
soumik12345/MIRNet
Tensorflow implementation of MIRNet for Low-light image enhancement
This helps photographers, videographers, and content creators improve the visual quality of their images and videos captured in poor lighting conditions. You input a dark or underexposed image, and it outputs a brighter, clearer, and more vibrant version, revealing details that were previously hidden. It's for anyone who needs to rescue underexposed visuals without reshooting.
About MIRNet-TFJS
Rishit-dagli/MIRNet-TFJS
TensorFlow JS models for MIRNet for low-light💡 image enhancement
This project helps photographers, content creators, or anyone with a collection of dimly lit images to instantly brighten and clarify them. You simply provide a low-light photograph, and it outputs a significantly enhanced, clearer version. It's designed for individuals who need to improve the visual quality of their images without complex editing software.
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