This YouTube transcript (Two Minute Papers #78) summarizes a short popular-science presentation describing a method for simulating time-varying textures (weathering/aging) from a single input image. The approach builds an "age map" marking weathered regions (red) and assumes repetitive patterns to infer past or future appearance; it can transfer weathering between images, handle multi-layer textures, and apply results to 3D models.
Chapters
Dear fellow scholars, this is two minute.
Papers with this research group is known.
For their extraordinary ideas and this piece.
Of work is of course no exception.
This paper is about time varying textures. Have a look at these photographs that.
Were taken at a different time and.
The million dollar question can we simulate how this texture would look if we were to go forward in time?
A texture weathering simulation, if you will.
The immediate answer is that of course not.
However, in this piece of work, a.
Single input image is taken, and without.
Any user interaction, the algorithm attempts to.
Understand how this texture might have looked in the past. Now, let's start out by addressing the elephant in the room. This problem can obviously not be solved in the general case for any image. However, if we restrict our assumptions to textures that contain a repetitive pattern, then it is much more feasible to identify the weathering patterns. To achieve this, an age map is built where the red regions show the parts that are assumed to be weathered. You can see on the image how these weathering patterns break up the regularity. Leaning on the assumption that if we go back in time, the regions marked.
With red will recede and if we.
Go forward in time they will grow, we can write a really cool weathering simulator that creates results that look like wizardry.
Broken glass cracks, age rings on a wooden surface, you name it.
But we can also use this technique to transfer weathering patterns from one image onto another. Textures with multiple layers are also supported, which means that it can handle images that are given as a sum of.
Irregular and irregular patterns.
The blue background is regular and quite.
Symmetric, but the no parking text is lacking these regularities, and the amazing thing.
Is that the technique still works on such cases. The results are also demonstrated by putting these weathered textures on 3D models so we can see them all in their.
