4 days ago · Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution ... Reversible gans for memory-efficient image-to-image translation.

Jun 2, 2024 · Bayesian transfer and continual learning. The transfer learning paradigm is ... Deep Bayesian active learning with image data. In International ...

5 days ago · PDF | This paper introduces a new approach to single image blind deblurring via Bayesian estimation using expected loss, diverging from traditional.

May 30, 2024 · Improve the quality and quantity of image data using image augmentation;by incorporating probabilistic models, Bayesian neural networks (BNN) to address the ...

Jun 3, 2024 · ... transfer and denoising engine. This enables RNST to reconstruct a high-quality image from a noisy low-quality image with different image styles and limited data ...

5 days ago · Our results highlight the vulnerability of current state-of-the-art diffusion-based reconstruction models to possible worst-case perturbations and underscore ...

6 days ago · A bayesian model for predicting face recognition performance using image quality. ... Lit: Zero-shot transfer with locked-image text tuning. In Proceedings ...

Jun 9, 2024 · Approach: The approach involves leveraging the adversarial training paradigm of GANs, wherein a generator network creates high-resolution images from low- ...

Jun 16, 2024 · Emphasize Image Quality: Select high-resolution images to ensure that your content and style images are clear and detailed. This will significantly impact the ...

Jun 6, 2024 · Unsupervised quality monitoring of metal additive manufacturing using Bayesian adaptive resonance. ... The algorithm performs the dot product between the image ...