Showing 5 of 5 projects
A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.
Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.
Vulkan implementation of super-sampled rendering for high-quality anti-aliasing, with compact Vulkan coding techniques.
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