Добірка наукової літератури з теми "Correspondances non locales"
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Статті в журналах з теми "Correspondances non locales":
Rouillé-Kielo, Gaële. "Protéger des ‘eaux agitées’ : ce que les archives de l’association de riverains du lac Naivasha (années 1960-2010) révèlent des stratégies conservationnistes au Kenya." Knowing Nature 4 (2022): 241–81. http://dx.doi.org/10.4000/11tau.
Kistler, Max. "Réduction fonctionnelle et réduction logique." Philosophiques 27, no. 1 (October 2, 2002): 27–38. http://dx.doi.org/10.7202/004938ar.
Gauthier, Benoit, and Aimé-Jules Bizimana. "La relation journaliste-fixeur." Sur le journalisme, About journalism, Sobre jornalismo 11, no. 1 (June 13, 2022): 46–59. http://dx.doi.org/10.25200/slj.v11.n1.2022.476.
Rudant, Jean-Paul, and Pierre-Louis Frison. "Télédétection radar : de l'image d'intensité initiale au choix du mode de calibration des coefficients de diffusion beta 0, sigma 0, gamma 0." Revue Française de Photogrammétrie et de Télédétection, no. 219-220 (December 10, 2019): 19–28. http://dx.doi.org/10.52638/rfpt.2019.454.
Nguefack, Gildas Djieufo, Hervé Kuietche Mube, Agwah Dayan Ebile, and Florence Anyangwe Fonteh. "Effets du niveau de protéines de la ration sur les performances de croissances des pintades locales gris perlées (Numida meleagris) du Cameroun en phase démarrage (0-8 semaines)." International Journal of Biological and Chemical Sciences 16, no. 6 (March 11, 2023): 2715–25. http://dx.doi.org/10.4314/ijbcs.v16i6.20.
Almeida, Alexandre D’Avila de. "A viagem de Juan: uma contribuição à análise do homo economicus a partir do olhar de um viajante inadaptado." Século XXI – Revista de Ciências Sociais 12, no. 1 (January 18, 2024): 01–16. http://dx.doi.org/10.5902/2236672586433.
Bénéi, Veronique. "Nationalisme." Anthropen, 2016. http://dx.doi.org/10.17184/eac.anthropen.021.
Дисертації з теми "Correspondances non locales":
Carrillo, Hernan. "Colorisation d'images avec réseaux de neurones guidés par l'intéraction humaine." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0016.
Colorization is the process of adding colors to grayscale images. It is an important task in the image-editing and animation community. Although automatic colorization methods exist, they often produce unsatisfying results due to artifacts such as color bleeding, inconsistency, unnatural colors, and the ill-posed nature of the problem. Manual intervention is often necessary to achieve the desired outcome. Consequently, there is a growing interest in automating the colorization process while allowing artists to transfer their own style and vision to the process. In this thesis, we investigate various interaction formats by guiding colors of specific areas of an image or transferring them from a reference image or object. As part of this research, we introduce two semi-automatic colorization frameworks. First, we describe a deep learning architecture for exemplar-based image colorization that takes into account user’s reference images. Our second framework uses a diffusion model to colorize line art using user-provided color scribbles. This thesis first delves into a comprehensive overview of state-of-the-art image colorization methods, color spaces, evaluation metrics, and losses. While recent colorization methods based on deep-learning techniques are achieving the best results on this task, these methods are based on complex architectures and a high number of joint losses, which makes the reasoning behind each of these methods difficult. Here, we leverage a simple architecture in order to analyze the impact of different color spaces and several losses. Then, we propose a novel attention layer based on superpixel features to establish robust correspondences between high-resolution deep features from target and reference image pairs, called super-attention. This proposal deals with the quadratic complexity problem of the non-local calculation in the attention layer. Additionally, it helps to overcome color bleeding artifacts. We study its use in color transfer and exemplar-based colorization. We finally extend this model to specifically guide the colorization on segmented objects. Finally, we propose a diffusion probabilistic model based on implicit and explicit conditioning mechanism, to learn colorizing line art. Our approach enables the incorporation of user guidance through explicit color hints while leveraging on the prior knowledge from the trained diffusion model. We condition with an application-specific encoder that learns to extract meaningful information on user-provided scribbles. The method generates diverse and high-quality colorized images
Giraud, Remi. "Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0771/document.
This thesis focuses on several aspects of image analysis and processing with non local methods. These methods are based on the redundancy of information that occurs in other images, and use matching algorithms, that are usually patch-based, to extract and transfer information from the example data. These approaches are widely used by the computer vision community, and are generally limited by the computational time of the matching algorithm, applied at the pixel scale, and by the necessity to perform preprocessing or learning steps to use large databases. To address these issues, we propose several general methods, without learning, fast, and that can be easily applied to different image analysis and processing applications on natural and medical images. We introduce a matching algorithm that enables to quickly extract patches from a large library of 3D images, that we apply to medical image segmentation. To use a presegmentation into superpixels that reduces the number of image elements, in a way that is similar to patches, we present a new superpixel neighborhood structure. This novel descriptor enables to efficiently use superpixels in non local approaches. We also introduce an accurate and regular superpixel decomposition method. We show how to evaluate this regularity in a robust manner, and that this property is necessary to obtain good superpixel-based matching performances