Modeling 3D Fluid Volumes Based on Appearance Transfer
Since physically-based fluid simulations are often hard to control in terms of art direction, image-based modeling of fluids is a good alternative for creating special effects. However, it is quite challenging to capture flow data of real fluid phenomena in an efficient way. Recent research explored modeling fluid volumes by appearance transfer which proved successful when applied to fire. Now, it is interesting to check wether this technique is also successful when it comes to smoke and liquids. Additionally, the proposed method could be enhanced by implementing non-parametric texture synthesis.
The goal of this thesis is to reconstruct a fluid’s volume by using a sequence of single/pair-view images. An energy minimization problem has to be solved by applying an expectation maximum (EM)-like algorithm which makes use of a least squares method and appearance information for novel views including histogram-matching and steerable pyramids.
- Interest / experiences in fluid simulation
- C++, fundamental knowledge in python, advanced math skills
- Advantageous: experiences with mantaflow, lecture Simulation for Visual Effects
- Please provide your CV and transcript of records
- Okabe, M., Dobashi, Y.,Anjyo K. and Onai, R. (2015). Fluid Volume Modeling from Sparse Multi-view Images by Appearance Transfer. ACM Transactions on Graphics (Proc. SIGGRAPH 2015) 34(4).
- Ihrke, I. and M. Magnor (2004). Image-based tomographic reconstruction of flames. Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation, Eurographics Assoc.
- Heeger, D. J. and J. R. Bergen (1995). Pyramid-based texture analysis/synthesis. Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, ACM.
- Gregson, J., Ihrke, I., Thuerey, N. and Heidrich, W. (2014). From Capture to Simulation - Connecting Forward and Inverse Problems in Fluids. ACM Transactions on Graphics (Proc. SIGGRAPH 2014) 33(4).