يعرض 1 - 20 نتائج من 84 نتيجة بحث عن '"Cherenkova, Kseniya"', وقت الاستعلام: 1.12s تنقيح النتائج
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    المصدر: SHARP Workshop, European Conference on Computer Vision (ECCV), 2020

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    المساهمون: Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Computer Vision Imaging & Machine Intelligence (CVI²)

    المصدر: International Conference on Virtual Reality, 26-28 May 2022

    Relation: FNR11643091 - Face Identification Under Deformations, 2017 (01/05/2018-31/10/2021) - Djamila Aouada; https://orbilu.uni.lu/handle/10993/48518; info:hdl:10993/48518; https://orbilu.uni.lu/bitstream/10993/48518/1/V3090%20%281%29.pdf

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    المساهمون: Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Computer Vision Imaging & Machine Intelligence (CVI²)

    المصدر: SHARP workshop, ECCV 2020, 23-08-2020

    Relation: We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fidelity digital 3D human representations. However, 3D scanning systems can only capture the 3D human body shape up to some level of defects due to its complexity, including occlusion between bodyparts, varying levels of details, shape deformations, and the articulated skeleton. Textured 3D mesh completion is thus important to enhance3D acquisitions. The proposed approach decouples the shape and texture completion into two sequential tasks. The shape is recovered by an encoder-decoder network deforming a template body mesh. The texture is subsequently obtained by projecting the partial texture onto the template mesh before inpainting the corresponding texture map with a novel approach. The approach is validated on the 3DBodyTex.v2 dataset.; FNR11806282 - Accurate 3d Human Body Shape Modelling And Fitting Under Clothing, 2017 (01/09/2017-14/01/2021) - Alexandre Saint; https://orbilu.uni.lu/handle/10993/44702; info:hdl:10993/44702; https://orbilu.uni.lu/bitstream/10993/44702/1/3DBooster_SHARP_ECCV20.pdf

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    المصدر: CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention (2024); CVF Conference on Computer Vision and Pattern Recognition, Mon Jun 17th through Fri Jun 21st, 2024

    Relation: BRIDGES2021/IS/16849599/FREE-3D; https://orbilu.uni.lu/handle/10993/61833; info:hdl:10993/61833; arXiV:2402.17678v1