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AppWand: editing measured materials using appearance-driven optimization

Published: 29 July 2007 Publication History

Abstract

We investigate a new approach to editing spatially- and temporally-varying measured materials that adopts a stroke-based workflow. In our system, a user specifies a small number of editing constraints with a 3-D painting interface which are smoothly propagated to the entire dataset through an optimization that enforces similar edits are applied to areas with similar appearance. The sparse nature of this appearance-driven optimization permits the use of efficient solvers, allowing the designer to interactively refine the constraints. We have found this approach supports specifying a wide range of complex edits that would not be easy with existing techniques which present the user with a fixed segmentation of the data. Furthermore, it is independent of the underlying reflectance model and we show edits to both analytic and non-parametric representations in examples from several material databases.

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Information

Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 26, Issue 3
July 2007
976 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1276377
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2007
Published in TOG Volume 26, Issue 3

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Author Tags

  1. TSVBRDF
  2. material editing
  3. painting interface

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Cited By

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  • (2023)Materialistic: Selecting Similar Materials in ImagesACM Transactions on Graphics10.1145/359239042:4(1-14)Online publication date: 26-Jul-2023
  • (2023)RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D ScenesProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611957(8004-8015)Online publication date: 26-Oct-2023
  • (2022)An Inverse Procedural Modeling Pipeline for SVBRDF MapsACM Transactions on Graphics10.1145/350243141:2(1-17)Online publication date: 4-Jan-2022
  • (2021)Video recoloring via spatial-temporal geometric palettesACM Transactions on Graphics10.1145/3450626.345967540:4(1-16)Online publication date: 19-Jul-2021
  • (2021)Perceptual quality of BRDF approximations: dataset and metricsComputer Graphics Forum10.1111/cgf.14263640:2(327-338)Online publication date: 4-Jun-2021
  • (2020)Photorealistic Material Editing Through Direct Image ManipulationComputer Graphics Forum10.1111/cgf.1405739:4(107-120)Online publication date: 20-Jul-2020
  • (2020)BRDF Analysis with Directional Statistics and its ApplicationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.287270926:3(1476-1489)Online publication date: 1-Mar-2020
  • (2020)Joint learning of visual and spatial features for edit propagation from a single imageThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-019-01633-636:3(469-482)Online publication date: 1-Mar-2020
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