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Neural network layers implementing equalized learning rates for improved training stability in generative architectures.
Distinct from Convolution Layers: Specializes Convolution Layers by adding weight equalization specifically for GAN discriminators
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BasicSR is a PyTorch-based image restoration toolbox and framework designed for training and deploying deep learning models to upscale, denoise, and deblur images and videos. It serves as a comprehensive system for image super-resolution and video quality restoration, providing the necessary infrastructure to recover fine visual details and increase pixel density. The project distinguishes itself through specialized toolkits for facial image enhancement and high-fidelity face synthesis, as well as a dedicated video quality restoration suite that utilizes deformable convolutions and generative
Provides equalized linear and convolutional layers to improve training stability in GAN-based discriminators.