Parametric Reshaping of Human Bodies in Images

ACM Transaction on Graphics (Proceedings of SIGGRAPH 2010)

Shizhe Zhou1    Hongbo Fu2    Ligang Liu1   Daniel Cohen-Or3    Xiaoguang Han1

1Zhejiang University          2City University of Hong Kong         3Tel Aviv University

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Our parametric reshaping technique allows users to easily reshape a human body in a single image (Leftmost) by simply manipulating a small set of sliders corresponding to semantic attributes such as height, weight and waist girth.

We present an easy-to-use image retouching technique for realistic reshaping of human bodies in a single image. A model-based approach is taken by integrating a 3D whole-body morphable model into the reshaping process to achieve globally consistent editing effects. A novel body-aware image warping approach is introduced to reliably transfer the reshaping effects from the model to the image, even under moderate fitting errors. Thanks to the parametric nature of the model, our technique parameterizes the degree of reshaping by a small set of semantic attributes, such as weight and height. It allows easy creation of desired reshaping effects by changing the full-body attributes, while producing visually pleasing results even for loosely-dressed humans in casual photographs with a variety of poses and shapes.

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Snapshots of two popular Youtube videos on reshaping human bodies in single images by artists. Left: Original images. Middle: Artist works. Right: Parametric reshaping results using our technique.


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    One of six highlights from the SIGGRAPH 2010 Technical Papers Program. More...
  • Business Wire:
    Parametric Reshaping is a new technology being introduced at SIGGRAPH 2010 that allows even novice users to easily manipulate a subject's height, weight, and girth interactively while maintaining proportions. More...
   author = {Shizhe Zhou and Hongbo Fu and Ligang Liu and Daniel Cohen-Or and Xiaoguang Han},
   title = {Parametric Reshaping of Human Bodies in Images},
   journal = {ACM Transactions on Computer Graphics: Special Issue of ACM SIGGRAPH 2010},
   year = {2010},
   volume = {29},
   number = {4},

We would like to thank the anonymous reviewers for their constructive comments. We thank Michael Brown for video narration, Nils Hasler for the database of full body scans, and Li Bao, Ping Shi, and Ruizhen Hu for their help on experiments. We thank third parties to grant the permission of using their images: Blanka Matragi (Fig. 1), Daniel Moreno Diaz (Fig. 2), Will Brenner Photography (Fig. 13(d2)), Anna Theodora and Noam Galai (figures in the accompanying video), and the following flickr users for making their images available through creative common licenses: Alaskan Dude (Fig. 4), hqhuyanh (Fig. 10(left)), lululemon athletica (Fig. 10(middle)), D R E A M MERCHANT (Fig. 10(right)), Oleksandr Telesniuk (Fig. 11(top)), albany tim (Fig. 11(bottom)), mikebaird (Fig. 12), C′ear Ochoa (Fig. 13(a1)), brookenovak (Fig. 13(a2)), Steve Weaver (Fig. 13(a3)), Art Pets Photography (Fig. 13(b1)), ph-stop (Fig. 13(b2)), Meltwater (Fig. 13(b3)), Jason Gulledge (Fig. 13(c1)), mikebaird (Fig. 13(c3)), notsogoodphotography (Fig. 13(d1)), ktylerconk (Fig. 13(d2)), lululemon athletica (Fig. 13(d3)), hqhuyanh (Fig. 13(e1)), and CarlosMendoza-Photo (Fig. 13(e3)). The original image in Figure 13(e2) is copyrighted to Glenn Francis, Ligang Liu is supported by the 973 National Key Basic Research Foundation of China (No. 2009CB320801) and the joint grant of the National Natural Science Foundation of China and Microsoft Research Asia (No. 60776799). Hongbo Fu is partly supported by grants from CityU (No. StUp7200148 and SRG7002533), and the Hong Kong Research Grant Council (No. CityU113610). Daniel Cohen-Or’s research is supported in part by the Israel Science Foundation founded by the Israel Academy of Sciences and Humanities.

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