Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Pooran Memari"'
Publikováno v:
Computer Graphics Forum. 42:175-189
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adc1f914e4acab4b4f1c6336363beaa9
https://doi.org/10.1111/cgf.14752
https://doi.org/10.1111/cgf.14752
Publikováno v:
Computer Graphics Forum
Computer Graphics Forum, 2022, 41 (4), pp.169-179. ⟨10.1111/cgf.14596⟩
Eurographics Symposium on Rendering 2022
Computer Graphics Forum, 2022, 41 (4), pp.169-179. ⟨10.1111/cgf.14596⟩
Eurographics Symposium on Rendering 2022
International audience; Point pattern synthesis requires capturing both local and non-local correlations from a given exemplar. Recent works employ deep hierarchical representations from VGG-19 [SZ15] convolutional network to capture the features for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e898b6970a87c13c60302dc53214c756
https://doi.org/10.1111/cgf.14596
https://doi.org/10.1111/cgf.14596
Autor:
Pierre Ecormier-Nocca, Pooran Memari, Philippe Carrez, Marie-Paule Cani, Anne-Marie Moigne, Guillaume Cordonnier, Bedrich Benes
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2021
ACM Transactions on Graphics, 2021, ⟨10.1145/3450626.3459952⟩
ACM Transactions on Graphics, Association for Computing Machinery, 2021
ACM Transactions on Graphics, 2021, ⟨10.1145/3450626.3459952⟩
International audience; We present a novel method for authoring landscapes with flora and fauna while considering their mutual interactions. Our algorithm outputs a steadystate ecosystem in the form of density maps for each species, their daily circu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64059aa2fefb801b72f0c5586ecb0524
https://doi.org/10.1145/3450626.3459952
https://doi.org/10.1145/3450626.3459952
Publikováno v:
International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals)
ISPRS Congress
ISPRS Congress, Aug 2020, Nice, France. pp.195-202, ⟨10.5194/isprs-annals-V-2-2020-195-2020⟩
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 195-202 (2020)
ISPRS Congress
ISPRS Congress, Aug 2020, Nice, France. pp.195-202, ⟨10.5194/isprs-annals-V-2-2020-195-2020⟩
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 195-202 (2020)
This paper deals with the distributed computation of Delaunay triangulations of massive point sets, mainly motivated by the needs of a scalable out-of-core surface reconstruction workflow from massive urban LIDAR datasets. Such a data often correspon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4abeac87ab23cf0d3299c94ca49e913
https://doi.org/10.5194/isprs-annals-v-2-2020-195-2020
https://doi.org/10.5194/isprs-annals-v-2-2020-195-2020
Publikováno v:
Computer Graphics Forum. 38:157-168
While analysing and synthesising 2D distributions of points has been applied both to the generation of textures with discrete elements and for populating virtual worlds with 3D objects, the results are often inaccurate since the spatial extent of obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccb878f599eddf583a1e790bb5482603
https://doi.org/10.1111/cgf.13627
https://doi.org/10.1111/cgf.13627
Publikováno v:
HAL
Eurographics 2020 short paper proceedings
Eurographics 2020 short paper proceedings, May 2020, Norrköping, Sweden
Eurographics 2020 short paper proceedings
Eurographics 2020 short paper proceedings, May 2020, Norrköping, Sweden
Pair Correlation Functions (PCF) have been recently spreading as a reliable representation for distributions, enabling the efficient synthesis of point-sets, vector textures and object placement from examples. In this work we introduce a triangulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eff8d622a580d0a00f67847612703c30
Publikováno v:
2019 IEEE International Conference on Big Data (Big Data)
IEEE Big Data 2019
IEEE Big Data 2019, Dec 2019, Los Angeles, United States. ⟨10.1109/BigData47090.2019.9006534⟩
IEEE BigData
IEEE Big Data 2019
IEEE Big Data 2019, Dec 2019, Los Angeles, United States. ⟨10.1109/BigData47090.2019.9006534⟩
IEEE BigData
International audience; Motivated by the needs of a scalable out-of-core surface reconstruction algorithm available on the cloud, this paper addresses the computation of distributed Delaunay triangulations of massive point sets. The proposed algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0b80ad30c6a9a33175ae88aebb3fbf
https://hal.archives-ouvertes.fr/hal-02535021
https://hal.archives-ouvertes.fr/hal-02535021
Publikováno v:
SIGGRAPH Posters
In this work, we introduce a dedicated variant of traditional 2D reconstruction in which the input point set (a stippled image) caninclude different regions corresponding to different point densities. Our method converts this input into a layered, ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e30bca952f3f9ebae6cbca5ba03b99f
https://hal.inria.fr/hal-02193269
https://hal.inria.fr/hal-02193269
Publikováno v:
Computer Animation and Virtual Worlds
Computer Animation and Virtual Worlds, Wiley, 2019, 30 (3-4), pp.1-11. ⟨10.1002/cav.1903⟩
Computer Animation and Virtual Worlds, 2019, 30 (3-4), pp.1-11. ⟨10.1002/cav.1903⟩
Computer Animation and Virtual Worlds, Wiley, 2019, 30 (3-4), pp.1-11. ⟨10.1002/cav.1903⟩
Computer Animation and Virtual Worlds, 2019, 30 (3-4), pp.1-11. ⟨10.1002/cav.1903⟩
International audience; Animating herds of animals while achieving both convincing global shapes and plausible distributions within the herd is difficult using simulation methods. In this work, we allow users to rely on photos of real herds, which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c98260bc0b4e1a5cbf51f5c1d2ffed9c
https://hal.inria.fr/hal-02127824/document
https://hal.inria.fr/hal-02127824/document
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, In press
ACM Transactions on Graphics, Association for Computing Machinery, In press
Space coordinates offer an elegant, scalable and versatile framework to propagate (multi-)scalar functions from the boundary vertices of a 3-manifold, often called a cage , within its volume. These generalizations of the barycentric coordinate system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa53705ef374b0512bc167b31c5a3274
https://hal.archives-ouvertes.fr/hal-01900869
https://hal.archives-ouvertes.fr/hal-01900869