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DAVIDSTUTZ

Check out the latest superpixel benchmark — Superpixel Benchmark (2016) — and let me know your opinion! @david_stutz
20thAPRIL2017

READING

M. Ersin Yumer, N. J. Mitra. Learning Semantic Deformation Flows with 3D Convolutional Networks. ECCV, 2016.

Yumer and Mitra use 3D convolutional neural networks to predict semantic shape deformations. In particular, they consider shoes, cars, chairs and airplanes and deformations such as "comfy" for shoes or "sporty" for cars. The used network architecture corresponds to an encoder decoder scheme as illustrated in Figure 1. Results are shown in Figure 2.

Figure 1 (click to enlarge): The proposed network architectures to predict semantic shape deformations.

Figure 2 (click to enlarge): Qualitative results.

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