image-reconstructions

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luisoala / inn

Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty

detection uncertainty-quantification adversarial-attacks out-of-distribution-detection failure-modes image-reconstructions

Updated Apr 23, 2022
Python

khanmhmdi / Cifar-Image-Reconstruction-using-Autoencoder-Models

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Cifar-10 Image Reconstruction using Auto-encoder Models

python image ai deep-learning image-reconstruction decoder image-processing pytorch convolutional-layers autoencoder convolutional-autoencoder cifar10 cifar-10 reconstructed-images pytorch-implementation convulational image-reconstructions

Updated Jan 1, 2023
Jupyter Notebook

Implementation of a Vision-Mamba network, integrating State Space Models (SSM) with a patch-based encoder–decoder for image inpainting, colorization, and denoising. Trained with L1, SSIM, and VGG perceptual losses to preserve both structure and perceptual realism.

computer-vision deep-learning pytorch autoencoder ssm image-inpainting denoising-autoencoders image-restoration state-space-model ssim-loss perceptual-loss image-reconstructions vision-mamba mamba-block vgg-perceptual-loss

Updated Nov 26, 2025
Jupyter Notebook

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