# adamian98/pulse

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8,014 stars · 1,481 forks · Python

## Links

- GitHub: https://github.com/adamian98/pulse
- awesome-repositories: https://awesome-repositories.com/repository/adamian98-pulse.md

## Description

Pulse is a generative model image upscaler and latent space image processor. It functions as a self-supervised photo upsampling tool that increases image resolution by exploring the latent space of pre-trained generative models to synthesize high-quality details.

The system includes a face image alignment tool designed to standardize the scale and orientation of raw facial photos. This preprocessing utility prepares images for higher resolution processing by aligning and downscaling faces to a standard orientation.

The project covers AI image super-resolution and generative photo upscaling, utilizing generative model spaces to reconstruct clearer versions of low-resolution inputs.

## Tags

### Artificial Intelligence & ML

- [Image Super Resolution Models](https://awesome-repositories.com/f/artificial-intelligence-ml/image-super-resolution-models.md) — Implements deep learning architectures to increase image resolution and reconstruct fine details from low-quality inputs. ([source](https://github.com/adamian98/pulse#readme))
- [Generative Upscalers](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-upscalers.md) — Employs generative techniques to reconstruct high-resolution details in low-quality images.
- [Latent Reconstruction](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-models/latent-space-generative-models/latent-space-projections/latent-space-encoders/latent-reconstruction.md) — Processes images by mapping them into latent space and reconstructing high-resolution versions back to pixel space.
- [Image Upsampling](https://awesome-repositories.com/f/artificial-intelligence-ml/vision-encoders/self-supervised/image-upsampling.md) — Enhances low-resolution photos using a self-supervised approach that does not require paired high-resolution training data.

### Graphics & Multimedia

- [Image](https://awesome-repositories.com/f/graphics-multimedia/3d-point-cloud-filtering/resolution-upsampling/image.md) — Synthesizes high-quality details by exploring generative model spaces to create larger and clearer versions of images. ([source](https://github.com/adamian98/pulse#readme))

### Part of an Awesome List

- [Computer Vision Models](https://awesome-repositories.com/f/awesome-lists/ai/computer-vision-models.md) — Self-supervised photo upsampling via latent space exploration.
- [Developer Tools](https://awesome-repositories.com/f/awesome-lists/devtools/developer-tools.md) — Image enhancement tool for de-pixelation.