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of 21
pro vyhledávání: '"Rückert, Darius"'
Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their sho
Externí odkaz:
http://arxiv.org/abs/2401.06003
In the last few years, deep neural networks opened the doors for big advances in novel view synthesis. Many of these approaches are based on a (coarse) proxy geometry obtained by structure from motion algorithms. Small deficiencies in this proxy can
Externí odkaz:
http://arxiv.org/abs/2311.04634
Neural rendering with implicit neural networks has recently emerged as an attractive proposition for scene reconstruction, achieving excellent quality albeit at high computational cost. While the most recent generation of such methods has made progre
Externí odkaz:
http://arxiv.org/abs/2202.13664
In this paper, we present Neural Adaptive Tomography (NeAT), the first adaptive, hierarchical neural rendering pipeline for multi-view inverse rendering. Through a combination of neural features with an adaptive explicit representation, we achieve re
Externí odkaz:
http://arxiv.org/abs/2202.02171
In this paper we present ADOP, a novel point-based, differentiable neural rendering pipeline. Like other neural renderers, our system takes as input calibrated camera images and a proxy geometry of the scene, in our case a point cloud. To generate a
Externí odkaz:
http://arxiv.org/abs/2110.06635
Autor:
Rückert, Darius
In the last decade, many academic and industrial research groups around the globe are focusing on XR, leading to rapid progress of the field. Next to incremental hardware advances, new software techniques also play an important role in the recent suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2091::6d68e71ff91fab2fd3a7f571ea2b3d82
https://opus4.kobv.de/opus4-fau/files/22786/dissertation_electronic_ub.pdf
https://opus4.kobv.de/opus4-fau/files/22786/dissertation_electronic_ub.pdf
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Akademický článek
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Neural rendering with implicit neural networks has recently emerged as an attractive proposition for scene reconstruction, achieving excellent quality albeit at high computational cost. While the most recent generation of such methods has made progre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f192c1823ddf9302e8b786f65c98e276
Publikováno v:
Bioinformatics Advances; 2023, Vol. 3 Issue 1, p1-9, 9p
