TextureAda: Deep 3D Texture Transfer for Ideation in Product Design Conceptualization

Author:

Gallega Rgee WharloORCID,Azcarraga Arnulfo,Sumi YasuyukiORCID

Publisher

Springer Nature Switzerland

Reference43 articles.

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2. Bergmann, U., Jetchev, N., Vollgraf, R.: Learning texture manifolds with the periodic spatial GAN. In: 34th International Conference on Machine Learning, ICML 2017, vol. 1, pp. 722–730 (2017)

3. Bi, S., Kalantari, N.K., Ramamoorthi, R.: Patch-based optimization for image-based texture mapping. ACM Trans. Graph. 36(4) (2017). https://doi.org/10.1145/3072959.3073610

4. Chang, A.X., et al.: ShapeNet: an information-rich 3D model repository. arXiv preprint arXiv:1512.03012 (2015)

5. Chen, W., et al.: Learning to predict 3D objects with an interpolation-based differentiable renderer, pp. 1–12 (2019). https://nv-tlabs.github.io/DIB-R/

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