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Photorealistic rendering of rain streaks
Abstract
Photorealistic rendering of rain streaks with lighting and viewpoint effects is a challenging problem. Raindrops undergo rapid shape distortions as they fall, a phenomenon referred to as oscillations. Due to these oscillations, the reflection of light by, and the refraction of light through, a falling raindrop produce complex brightness patterns within a single motion-blurred rain streak captured by a camera or observed by a human. The brightness pattern of a rain streak typically includes speckles, multiple smeared highlights and curved brightness contours. In this work, we propose a new model for rain streak appearance that captures the complex interactions between the lighting direction, the viewing direction and the oscillating shape of the drop. Our model builds upon a raindrop oscillation model that has been developed in atmospheric sciences. We have measured rain streak appearances under a wide range of lighting and viewing conditions and empirically determined the oscillation parameters that are dominant in raindrops. Using these parameters, we have rendered thousands of rain streaks to create a database that captures the variations in streak appearance with respect to lighting and viewing directions. We have developed an efficient image-based rendering algorithm that uses our streak database to add rain to a single image or a captured video with moving objects and sources. The rendering algorithm is very simple to use as it only requires a coarse depth map of the scene and the locations and properties of the light sources. We have rendered rain in a wide range of scenarios and the results show that our physically-based rain streak model greatly enhances the visual realism of rendered rain.
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Cited by
Deep Joint Rain Detection and Removal from a Single Image
Yang, W., Tan, R. T., Feng, J., Liu, J., Guo, Z., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.183 · Cited by 1,231
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Fu, X., Huang, J., Ding, X., Liao, Y., & Paisley, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2691802 · Cited by 940
Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition
Kang, L.-W., Lin, C.-W., & Fu, Y.-H. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2179057 · Cited by 905
Garg, K., & Nayar, S. K. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0028-6 · Cited by 477
Self-citationA Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks
Chen, Y.-L., & Hsu, C.-T. (2013) · 2013 IEEE International Conference on Computer Vision · doi:10.1109/iccv.2013.247 · Cited by 458
Metadata
- Authors
- Garg, K., & Nayar, S. K.
- Venue
- ACM Transactions on Graphics
- Published
- 2006-07
- Volume
- 25
- Issue
- 3
- Pages
- 996-1002
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W1986266272
- Cited by
- 227
- References
- 0
- FWCI
- 11.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Garg, K., & Nayar, S. K. (2006). Photorealistic rendering of rain streaks. ACM Transactions on Graphics. https://doi.org/10.1145/1141911.1141985
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