Browsing by Author "Rushmeier, Holly"

Now showing 1 - 4 of 4
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    Controlling Material Appearance by Examples
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Hu, Yiwei; Hašan, Miloš; Guerrero, Paul; Rushmeier, Holly; Deschaintre, Valentin; Ghosh, Abhijeet; Wei, Li-Yi
    Despite the ubiquitous use of materials maps in modern rendering pipelines, their editing and control remains a challenge. In this paper, we present an example-based material control method to augment input material maps based on user-provided material photos. We train a tileable version of MaterialGAN and leverage its material prior to guide the appearance transfer, optimizing its latent space using differentiable rendering. Our method transfers the micro and meso-structure textures of user provided target(s) photographs, while preserving the structure and quality of the input material. We show our methods can control existing material maps, increasing realism or generating new, visually appealing materials.
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    Is Drawing Order Important?
    (The Eurographics Association, 2023) Qiu, Sherry; Wang, Zeyu; McMillan, Leonard; Rushmeier, Holly; Dorsey, Julie; Babaei, Vahid; Skouras, Melina
    The drawing process is crucial to understanding the final result of a drawing. There has been a long history of understanding human drawing; what kinds of strokes people use and where they are placed. An area of interest in Artificial Intelligence is developing systems that simulate human behavior in drawing. However, there has been little work done to understand the order of strokes in the drawing process. Without sufficient understanding of natural drawing order, it is difficult to build models that can generate natural drawing processes. In this paper, we present a study comparing multiple types of stroke orders to confirm findings from previous work and demonstrate that multiple orderings of the same set of strokes can be perceived as human-drawn and different stroke order types achieve different perceived naturalness depending on the type of image prompt.
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    MAM 2019: Frontmatter
    (Eurographics Association, 2019) Klein, Reinhard; Rushmeier, Holly; Klein, Reinhard and Rushmeier, Holly
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    Reconstructing Dura-Europos From Sparse Photo Collections Using Deep Contour Extraction
    (The Eurographics Association, 2021) Shen, Yifei; Wang, Zeyu; Sun, Qinying; Chen, Anne; Rushmeier, Holly; Hulusic, Vedad and Chalmers, Alan
    In this short paper we present work in progress on creating tools to facilitate 3D reconstruction of cultural heritage. We propose three new types of tools to make reconstruction easier - first we fetch linked open data to help organize source materials, next we extract key contours from photographs to speed up reconstruction, and finally we generate video tours of positioned photos and sketches. We also introduce a new, expanded 3D software system to support these tasks. The system is developed based on previous work on 3D sketching in the context of cultural heritage documentation, in particular CHER-ish. We demonstrate the potential of these tools by describing results obtained from the Dura-Europos data set.