Water Simulation and Rendering from a Still Photograph
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Abstract (arXiv)
We propose an approach to simulate and render realistic water animation from a single still input photograph. We first segment the water surface, estimate rendering parameters, and compute water reflection textures with a combination of neural networks and traditional optimization techniques. Then we propose an image-based screen space local reflection model to render the water surface overlaid on the input image and generate real-time water animation. Our approach creates realistic results with no user intervention for a wide variety of natural scenes containing large bodies of water with different lighting and water surface conditions. Since our method provides a 3D representation of the water surface, it naturally enables direct editing of water parameters and also supports interactive applications like adding synthetic objects to the scene.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 20 of its 47 references that are in the map. First posted on arXiv 5 Oct 2022.
Builds on
20 of 47 references.
References · 20
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8 more
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Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 1.
5 papers.
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- 2024StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGANcited by 3
- 2024Sketch-Guided Stylized Landscape Cinemagraph Synthesiscited by 1
- 2025PhysGen3D: Crafting a Miniature Interactive World from a Single Image26 Mar 2025
- 2024Sketch-Guided Stylized Landscape Cinemagraph Synthesis1 Dec 2024
- 2024PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation27 Sep 2024
- 2024StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN21 Mar 2024
- 2023Generative Image Dynamics14 Sep 2023