waifu2x-caffe is a Windows desktop application for image upscaling and denoising using pre-trained convolutional neural networks (Caffe). It provides three interfaces: a graphical user interface (GUI) built with Win32 dialogs, a command-line interface (CLI) using a forked TCLAP parser, and a dynamic-link library (DLL) for integration into other software. The core processing pipeline is implemented in the `common/` directory, with classes `Waifu2x` orchestrating model loading and inference, `cNet` wrapping Caffe's `Net` for forward passes, and `stImage` handling image I/O, preprocessing (padding, alpha channel), and tiled processing for large images. The application supports multiple model architectures (VGG-7, upconv_7, upresnet10, cunet) and modes (noise removal, scaling, both), with bundled pre-trained models in prototxt format. It also includes a localization system with JSON language files and a lightweight Win32 dialog framework. While primarily an inference tool, the repository contains appendix Python scripts for converting Chainer models to Caffe format, adding a minor research component. The codebase is heavily Windows-specific, relying on Visual Studio 2015, CUDA 11.0, cuDNN, Boost, OpenCV, and Caffe, which introduces significant technical drift due to the unmaintained status of Caffe and the aging toolchain.