S

Super-Resolution

Free, open-source (AGPL) mosaic restoration for Windows: detects pixelated regions in video and restores them with a temporal model, plus whole-frame upscaling. One source tree, three editions: NVIDIA RTX (TensorRT, NVDEC/NVENC, RTX Super-Res), AMD Radeon (PyTorch ROCm, AMF) and Intel Arc (PyTorch XPU, Quick Sync). Desktop UI with Test Frame preview, folder batches, 4K/VR (SBS, fisheye) support, VRAM preflight, custom super-resolution models with TensorRT compilation. Installers and patches on the Releases page; the GitHub repos (seatv/ChitraMaya, -AMD-ROCM, -Intel-ARC) are mirrors of this one.

Free AI image upscaler and photo restorer that runs in your own browser — upscale, clear noise, rebuild faces, colourise and cut out backgrounds, with nothing uploaded. https://openpixels.app

Photo-realistic single-image super-resolution (SRGAN, x4) in TensorFlow/TensorLayer — refactored OO training/evaluation pipeline with research experiment branches.

An improved fork of github.com/yjn870/FSRCNN-pytorch

In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training