This is the texture synthesis method used in the paper:

• Li, Z., Shafiei, M., Ramamoorthi, R., Sunkavalli, K., & Chandraker, M. (2020). Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2475-2484).

Please cite this paper if you use the code.

We adopt a graph-cut-based [2] methods to perform tileable texture synthesis, which can keep the structure of the texture. Please refer to [1] for more details. A demonstration of our pipeline is shown below. Some example results are shown below.

• First, download the Adobe Stock materials from this link.
• Open runTextureSynthesis.m. At line 13, set root to be the directory you have the Adobe Stock materials.
• Go to directory Bk_matlab. Compile the code as instructed.
• Run runTextureSynthesis.m.

• [1] Li, Z., Shafiei, M., Ramamoorthi, R., Sunkavalli, K., & Chandraker, M. (2020). Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2475-2484).
• [2] Boykov, Y., Veksler, O., & Zabih, R. (2001). Fast approximate energy minimization via graph cuts. IEEE Transactions on pattern analysis and machine intelligence, 23(11), 1222-1239.