Browsing by Author "Pacanowski, Romain"

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    3D for Studying Reuse in 19th Century Cairo: the Case of Saint-Maurice Residence
    (The Eurographics Association, 2021) Baillet, Vincent; Mora, Pascal; Cou, Corentin; Tournon-Valiente, Sarah; Volait, Mercedes; Granier, Xavier; Pacanowski, Romain; Guennebaud, Gaël; Hulusic, Vedad and Chalmers, Alan
    3D restitution is now a well-known tool to validate hypotheses on historical buildings that do not exist anymore. The present project takes the method a step further in order to explore the art historical topic of ornament reuse in 19th century revival architecture, particularly in Cairo. The case study is the Saint-Maurice residence, built 1875-79, for which an extensive collection of documents in varied formats, and from multiple locations and disciplines, has been conducted. The paper presents some preliminary results on the 3D restitution, the remaining open questions and the challenges they raise.
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    Comparative Study of Layered Material Models
    (The Eurographics Association, 2019) Bati, Mégane; Pacanowski, Romain; Barla, Pascal; Klein, Reinhard and Rushmeier, Holly
    The accurate reproduction of layered materials is an important part of physically-based rendering applications. Since no exact analytical model exists for any configuration of layer stacks, available models make approximations. In this paper, we propose to evaluate them with a numerical approach: we simulate BRDFs and BTDFs for layered materials in order to compare existing models against a common reference. We show that: (1) no single model always outperforms the others and (2) significant differences remain between simulated and modeled materials. We analyse the reasons for these discrepancies and introduce immediate corrections.
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    On Learning the Best Local Balancing Strategy
    (The Eurographics Association, 2020) Murray, David; Benzait, Sofiane; Pacanowski, Romain; Granier, Xavier; Wilkie, Alexander and Banterle, Francesco
    Fast computation of light propagation using Monte Carlo techniques requires finding the best samples from the space of light paths. For the last 30 years, numerous strategies have been developed to address this problem but choosing the best one is really scene-dependent. Multiple Importance Sampling (MIS) emerges as a potential generic solution by combining different weighted strategies, to take advantage of the best ones. Most recent work have focused on defining the best weighting scheme. Among them, two paper have shown that it is possible, in the context of direct illumination, to estimate the best way to balance the number of samples between two strategies, on a per-pixel basis. In this paper, we extend this previous approach to Global Illumination and to three strategies.