Official code for 'Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers' (Computers & Graphics 2023)
Dataset created for the paper entitled 'Combining Attention Module and Pixel Shuffle for License Plate Super-resolution' (SIBGRAPI 2022)
Free and open source AI image upscaler. It uses the latest AI technology to upscale images to higher resolutions.
Official code for 'Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach' (SIBGRAPI 2024)
Use AI to enhance and upscale your low-quality images: A Google Colab notebook to inference Real-ESRGAN model
TriAttNet is an advanced image super-resolution model that utilizes a Triple Attention Mechanism to enhance image quality by learning complex dependencies across channels, spatial regions, and global structures.
Tensor-Flow implementation of GAN trained on dataset of face images
DCGAN was used for synthetic data generation, ACGAN for classification, and SRGAN for image enhancement.
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