Comparison to
Orzan et al. 2008


We compare against method described in

Alexandrina Orzan, Adrien Bousseau, Holger Winnemöller, Pascal Barla, Joëlle Thollot, David Salesin,
Diffusion Curves: A Vector Representation for Smooth-Shaded Images,
ACM Transactions on Graphics (Proc. SIGGRAPH 2008), 27(3), 2008

The results were created with the author's original implementation.

Please note: most vectorization tools, such as the algorithm described in the Diffusion Curves paper, are designed for much larger input images. In the paper we give a detailed explanation for why they perform less successfully on tiny pixel art inputs. The results below do not make a statement about the quality one can achieve on input images within the design range of these tools, they merely show that there is a need for specialized algorithms for very tiny images. It should also be noted that our algorithm does not generalize to large images with noise or anti-aliased edges. Click here to see some very nice Diffusion Curves results on such challenging images.


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