 
            Abstract
Human Cinemegraph Generation
 
                     
                    
                Methodology
We propose solving this problem in normal space. By doing so, it is possible to tackle the problem without real data.
Pipeline
 
                Problem Decomposition
Here we detail how we decompose the problem to approach it through the normal space.
Stage 1: Normal estimation
Stage 2: Cyclic and Controllable Animation (Sec 3.1)
Wind Cyclic UNet
 
                Stage 3: Normal Guided Synthesis (Sec. 3.2)
 Input
                            Input
                         Normal map
                            Normal map
                        
                            
                            Animation
                        
                        
                            
                            Shading
                        
                         Reflectance
                            Reflectance
                        
                            
                            RGB
                        
                    Synthetic Data
We train our Cyclic and Controllable UNet using only synthetic data.
Comparison
We compare results obtained with a state-of-the-art method and variations of our approach.
Wind Control
We illustrate here the possibility of controlling the generated video with the wind direction.
Qualitative results
More results
Failures
BibTeX
[TBD]
 
                 
                 
                



