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000 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 000 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 Total Moving Face Reconstruction Supplement Materials Anonymous ECCV submission Paper ID 366 We compare to single view method in Figure 1. Our method (outlined in red) obtains higher quality coarse as well as detail reconstruction due to estimation of 3D flow coupled with extreme non frontal pose and shading. State of the art single view methods do not account for 3D flow. Additionally, while we estimate an initial template (average shape) of the individual we would like to reconstruct, state of the art single view methods use models of other individuals as the template; this also decreases the quality of the results. Input Ours Single/view [30] Average Shapes Fig. 1. A comparison to single view method by Kemelmacher et al. [30].

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ECCV

#366ECCV

#366

Total Moving Face ReconstructionSupplement Materials

Anonymous ECCV submission

Paper ID 366

We compare to single view method in Figure 1. Our method (outlined in red)obtains higher quality coarse as well as detail reconstruction due to estimationof 3D flow coupled with extreme non frontal pose and shading. State of theart single view methods do not account for 3D flow. Additionally, while weestimate an initial template (average shape) of the individual we would like toreconstruct, state of the art single view methods use models of other individualsas the template; this also decreases the quality of the results.

Input& Ours&Single/view&[30]&Average&Shapes&

Fig. 1. A comparison to single view method by Kemelmacher et al. [30].