Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior to reconstruct images from noisy or incomplete data. It functions as a neural network image prior, utilizing the inherent biases of the network architecture to restore pixels without the need for a pre-trained dataset or external learning. The system performs zero-shot image restoration by treating the network architecture itself as a regularization term. It uses a randomly initialized encoder-decoder structure and iterative gradient descent to minimize pixel-wise loss, recove
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Les fonctionnalités principales de limbee/ntire2017 sont : Image Transformation.
Les alternatives open-source à limbee/ntire2017 incluent : cszn/dncnn — Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017). dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior… leongatys/pytorchneuralstyletransfer. richzhang/colorization — Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. richzhang/perceptualsimilarity — PerceptualSimilarity is a deep learning framework designed to quantify and evaluate the perceptual distance between… xunhuang1995/adain-style — Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.