Pulse

Features

Image Resolution Reconstruction - Increases the resolution of low-quality photos by reconstructing missing facial details using generative models.
Face Alignment Tools - Provides utilities to detect facial landmarks and format face patches for high-fidelity upscaling.
Image-to-Latent Projections - Maps existing low-resolution images back into the generative model's latent space to find high-resolution matches.
Latent Search - Searches the generative model's internal representation to find a high-resolution match for a low-resolution input.
Latent Vector Optimizers - Optimizes latent vectors using spherical constraints and reconstruction loss to recover missing image details.
Latent-Based Upsamplers - Increases photo resolution by exploring the latent space of generative models for high-fidelity matches.
Image Super Resolution Models - Functions as a specialized system for increasing the resolution and recovering fine details of facial images.
Real Image Inversion - Implements techniques to map real facial images back to GAN latent codes for high-resolution reconstruction.
Face Alignment - Detects facial landmarks and aligns image features to ensure consistent orientation for the generative model.
Facial Restoration - Reconstructs high-fidelity facial details and removes artifacts using specialized alignment and generative synthesis.
Geodesic Distance Regularizations - Implements geodesic distance measurement to regularize latent representations during the image recovery process.
Spherical Constraints - Uses spherical constraints to maintain parameter radii while optimizing latent vectors for high-fidelity image reconstruction.
Self-Supervised Reconstruction - Improves image quality without labeled training pairs by using the generative model's architecture as a regularization prior.
Pixel-Wise Reconstruction Losses - Calculates the pixel-wise difference between generated and reference images to guide the upsampling process.
Spherical Distance Calculators - Uses spherical distance calculations to regularize and constrain latent representations during the optimization process.
Spherical Constraints - Restricts parameter updates to a spherical surface to maintain the original radius of latent vectors.

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dmitryulyanov/deep-image-prior
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alex-damianpulse

Features

Open-source alternatives to Pulse

XPixelGroup/BasicSR

adamian98/pulse

spipm/Depixelization_poc

DmitryUlyanov/deep-image-prior

Star history

Open-source alternatives to Pulse

XPixelGroup/BasicSR

adamian98/pulse

spipm/Depixelization_poc

DmitryUlyanov/deep-image-prior