The DOI matches its Crossref record.
Improving noise
Abstract
Two deficiencies in the original Noise algorithm are corrected: second order interpolation discontinuity and unoptimal gradient computation. With these defects corrected, Noise both looks better and runs faster. The latter change also makes it easier to define a uniform mathematical reference standard.
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Citations
Cited by
Collaborative learning in networks
Mason, W., & Watts, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110069108 · Cited by 356
Virtual character performance from speech
Marsella, S., Xu, Y., Lhommet, M., Feng, A., Scherer, S., & Shapiro, A. (2013) · Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation · doi:10.1145/2485895.2485900 · Cited by 168
Robot Learning From Randomized Simulations: A Review
Muratore, F., Ramos, F., Turk, G., Yu, W., Gienger, M., & Peters, J. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.799893 · Cited by 128
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
Sundaresan, P., Grannen, J., Thananjeyan, B., Balakrishna, A., Laskey, M., Stone, K., Gonzalez, J. E., & Goldberg, K. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra40945.2020.9197121 · Cited by 107
Guided attention network for object detection and counting on drones
YuanQiang, C., Du, D., Zhang, L., Wen, L., Wang, W., Wu, Y., & Lyu, S. (2020) · Proceedings of the 28th ACM International Conference on Multimedia · doi:10.1145/3394171.3413816 · Cited by 58
Metadata
- Authors
- Perlin, K.
- Venue
- ACM Transactions on Graphics
- Published
- 2002-07
- Volume
- 21
- Issue
- 3
- Pages
- 681-682
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W4239515185
- Cited by
- 260
- References
- 0
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
