Approach to appearance transfer for fluid animations
Their technique is the first that performs flow-guided texture synthesis that convincingly preserve the appearance of realistic fluid exemplars, while at the same time avoiding disturbing
temporal artifacts
They have demonstrated the practical utility of their technique in realistic scenarios, giving practitioners a new option for creating fluid-based special effects
Abstract
In this paper we present a novel approach to appearance transfer for fluid animations based on flow-guided texture synthesis. In contrast to common practice where pre-captured sets of fluid elements are combined in order to achieve desired motion and look, we bring the possibility of fine-tuning motion properties in advance using CG techniques, and then transferring the desired look from a selected appearance exemplar. We demonstrate that such a practical work-flow cannot be simply implemented using current state-of-the-art techniques, analyze what the main obstacles are, and propose a solution to resolve them. In addition, we extend the algorithm to allow for synthesis with rich boundary effects and video exemplars. Finally, we present numerous results that demonstrate the versatility of the proposed approach.
Author
Ondřej Jamriška, CTU in Prague, FEE
Jakub Fišer, CTU in Prague, FEE
Paul Asente, Adobe Research
Jingwan Lu, Adobe Research
Eli Shechtman, Adobe Research
Daniel Sýkora, CTU in Prague, FEE
Journal/Conference
ACM Transactions on Graphics (TOG), Volume 34 Issue 4, August 2015
Summary
Abstract
In this paper we present a novel approach to appearance transfer for fluid animations based on flow-guided texture synthesis. In contrast to common practice where pre-captured sets of fluid elements are combined in order to achieve desired motion and look, we bring the possibility of fine-tuning motion properties in advance using CG techniques, and then transferring the desired look from a selected appearance exemplar. We demonstrate that such a practical work-flow cannot be simply implemented using current state-of-the-art techniques, analyze what the main obstacles are, and propose a solution to resolve them. In addition, we extend the algorithm to allow for synthesis with rich boundary effects and video exemplars. Finally, we present numerous results that demonstrate the versatility of the proposed approach.
Author
Journal/Conference
ACM Transactions on Graphics (TOG), Volume 34 Issue 4, August 2015
Link