Comparison to
Orzan et al. 2008
Orzan et al. 2008
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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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Super Mario World, © Nintendo |
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| Input | Nearest (16x) | Our Method (16x) | Orzan et al., 2008 |
Mario and Yoshi 2
Super Mario World, © Nintendo |
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| Input | Nearest (8x) | Our Method (8x) | Orzan et al., 2008 |
Yoshi 3
Super Mario World, © Nintendo |
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| Input | Nearest (16x) | Our Method (16x) | Orzan et al., 2008 |
Bomber 4
Super Bomberman, © Hudson Soft |
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| Input | Nearest (16x) | Our Method (16x) | Orzan et al., 2008 |
386 Enhanced
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| Input | Nearest (16x) | Our Method (16x) | Orzan et al., 2008 |
Keyboard
Windows 3.1, © Microsoft |
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| Input | Nearest (16x) | Our Method (16x) | Orzan et al., 2008 |