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Leire Benito-Del-Valle

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

149

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

When Synthetic Plants Get Sick: Generating Graded Plant Disease Synthetic Datasets with Novel Regression-Conditional Image-to-Image Diffusion Models (Diffusionpix2pix)

Number of pages: 18 Posted: 05 Jul 2024
University of the Basque Country, affiliation not provided to SSRN, affiliation not provided to SSRN, Basque Research and Technology Alliance (BRTA), Basque Research and Technology Alliance (BRTA), University of the Basque Country, University of the Basque Country, BASF SE, BASF SE, BASF SE and BASF SE
Downloads 80 (803,225)

Abstract:

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Regression conditioned generative models, Generative Adversarial Network (GAN), Diffusion Model (DM), Deep Learning (DL)

2.

Latent Diffusion Meets Semi-Supervised learning: Enhancing Plant Disease Detection with Minimal Labels

Number of pages: 17 Posted: 11 Nov 2025
University of the Basque Country, affiliation not provided to SSRN, affiliation not provided to SSRN, Basque Research and Technology Alliance (BRTA), Basque Research and Technology Alliance (BRTA), University of the Basque Country, University of the Basque Country, BASF SE, BASF SE and BASF SE
Downloads 55 (1,010,164)

Abstract:

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plant disease, Deep Learning (DL), regression conditioned generative models, Denoising Diffusion Probabilistic Models (DDPMs), semi-supervised learning

3.

Latent Diffusion Meets Semi-Supervised Learning: Enhancing Plant Disease Detection with Minimal Labels

Number of pages: 18 Posted: 20 Feb 2026
University of the Basque Country, affiliation not provided to SSRN, affiliation not provided to SSRN, Basque Research and Technology Alliance (BRTA), Basque Research and Technology Alliance (BRTA), University of the Basque Country, University of the Basque Country, BASF SE, BASF SE and BASF SE
Downloads 14 (1,509,872)

Abstract:

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Plant Disease, Deep Learning (DL), regression conditioned generative models, Denoising Diffusion Probabilistic Model s(DDPMs), Semi-Supervised Learning