Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lightweight Model for Occlusion Removal from Face Images Subject The topic of the resource Dynamic Quantization; Generative adversarial network (GAN); Occlusion; Pix2pix Description An account of the resource In the realm of deep learning, the prevalence of models with large number of parameters poses a significant challenge for low computation device. Critical influence of model size, primarily governed by weight parameters in shaping the computational demands of the occlusion removal process. Recognizing the computational burdens associated with existing occlusion removal algorithms, characterized by their propensity for substantial computational resources and large model sizes, we advocate for a paradigm shift towards solutions conducive to low-computation environments. Existing occlusion riddance techniques typically demand substantial computational resources and storage capacity. To support real-time applications, it's imperative to deploy trained models on resource-constrained devices like handheld devices and internet of things (IoT) devices possess limited memory and computational capabilities. There arises a critical need to compress and accelerate these models for deployment on resource-constrained devices, without compromising significantly on model accuracy. Our study introduces a significant contribution in the form of a compressed model designed specifically for addressing occlusion in face images for low computation devices. We perform dynamic quantization technique by reducing the weights of the Pix2pix generator model. The trained model is then compressed, which significantly reduces its size and execution time. The proposed model, is lightweight, due to storage space requirement reduced drastically with significant improvement in the execution time. The performance of the proposed method has been compared with other state of the art methods in terms of PSNR and SSIM. Hence the proposed lightweight model is more suitable for the real time applications with less computational cost. 2024 by the author(s). Creator An entity primarily responsible for making the resource John S.; Danti A. Source A related resource from which the described resource is derived Annals of Emerging Technologies in Computing, Vol-8, No. 2, pp. 1-14. Publisher An entity responsible for making the resource available International Association for Educators and Researchers (IAER) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.33166/AETiC.2024.02.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.33166/AETiC.2024.02.001</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190413826&amp;doi=10.33166%2FAETiC.2024.02.001&amp;partnerID=40&amp;md5=ff179998cf4cf9c790ce04656ddfd0a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190413826&amp;doi=10.33166%2fAETiC.2024.02.001&amp;partnerID=40&amp;md5=ff179998cf4cf9c790ce04656ddfd0a5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25160281 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John S., Department of Computer Science and Engineering, Christ University, India; Danti A., Department of Computer Science and Engineering, Christ University, India