This is the Linux app named Deep Photo Style Transfer whose latest release can be downloaded as deep-photo-styletransfersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Deep Photo Style Transfer
DESCRIPTION
Deep Photo Style Transfer is an implementation of the algorithm described in the paper “Deep Photo Style Transfer” (arXiv 1703.07511). The software allows users to transfer the style of one photograph to another while preserving photorealism and semantic consistency. It relies on semantic segmentation masks to guide style transfer (so that e.g. sky maps to sky, building maps to building), and uses a matting Laplacian regularization term to ensure smooth transitions. The repository provides code in Torch (Lua), MATLAB / Octave scripts for computing the Laplacian, and pre-trained models.
Features
- Semantic-aware style transfer (style guided by segmentation masks)
- Photorealistic regularization via matting Laplacian
- Multi-stage pipeline: intermediate segmentation + final transfer
- Support for CUDA / GPU acceleration
- Compatibility with MATLAB / Octave for Laplacian computations
- Pretrained models and example scripts for ease of use
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deep-photo-style.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
