We are looking at gain maps to see if we can reduce the artifacts. Styles with hard shadow are more challenging. eg Olaf Blecker http://i1.dripimg.com/t/460000/6554/96/450324_500_8a28bd.jpg (Note that high contrast…
Both papers use multi-scale approach to capture textures in different scales. While Bae's work is global transfer, this paper uses local transfer. This paper first uses a technique called "sift flow" in computer vision…
I'm planning to release some demo code before the presentation at August :-)
Exactly. In my viewpoint, the dense correspondence is another key factor that makes this technique work.
The main difference of this method is doing the transfer locally - while most off-the-shelf filters only create global effects.
We are looking at gain maps to see if we can reduce the artifacts. Styles with hard shadow are more challenging. eg Olaf Blecker http://i1.dripimg.com/t/460000/6554/96/450324_500_8a28bd.jpg (Note that high contrast…
Both papers use multi-scale approach to capture textures in different scales. While Bae's work is global transfer, this paper uses local transfer. This paper first uses a technique called "sift flow" in computer vision…
I'm planning to release some demo code before the presentation at August :-)
Exactly. In my viewpoint, the dense correspondence is another key factor that makes this technique work.
The main difference of this method is doing the transfer locally - while most off-the-shelf filters only create global effects.