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adamian98 avatar

adamian98/pulse

0
View on GitHub↗
8,014 stars·1,481 forks·Python·19 views

Pulse

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.

Features

  • Image Super Resolution Models - Implements deep learning architectures to increase image resolution and reconstruct fine details from low-quality inputs.
  • Generative Upscalers - Employs generative techniques to reconstruct high-resolution details in low-quality images.
  • Image - Synthesizes high-quality details by exploring generative model spaces to create larger and clearer versions of images.
  • Latent Reconstruction - Processes images by mapping them into latent space and reconstructing high-resolution versions back to pixel space.
  • Image Upsampling - Enhances low-resolution photos using a self-supervised approach that does not require paired high-resolution training data.
  • Computer Vision Models - Self-supervised photo upsampling via latent space exploration.
  • Developer Tools - Image enhancement tool for de-pixelation.

Star history

Star history chart for adamian98/pulseStar history chart for adamian98/pulse

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Pulse

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Frequently asked questions

What does adamian98/pulse do?

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.

What are the main features of adamian98/pulse?

The main features of adamian98/pulse are: Image Super Resolution Models, Generative Upscalers, Image, Latent Reconstruction, Image Upsampling, Computer Vision Models, Developer Tools.

What are some open-source alternatives to adamian98/pulse?

Open-source alternatives to adamian98/pulse include: alex-damian/pulse — Pulse is a face image super-resolution tool and self-supervised image enhancer. It functions as a generative model… xinntao/esrgan — ESRGAN is a deep learning image restoration framework designed for image super-resolution. It uses a generative… tencentarc/gfpgan — GFPGAN is a generative face restoration model and Python-based image processing tool designed to restore… mochidiffusion/mochidiffusion — MochiDiffusion is a local client for Stable Diffusion that functions as an AI image generation studio. It provides a… eriklindernoren/keras-gan — Keras-GAN is a collection of generative adversarial network implementations built with Keras for synthetic data… dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior…