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Challenge 1
Challenge 2
Challenge 3
Submission
Program

Motivation

In order to participate in one or both challenges, including for the online option, participants need to express their interest by simply using the following contact form.

  • For requests to participate in Challenge 1, please write in the subject [SHARP Challenge1]
  • For requests to participate in Challenge 2, please write in the subject [SHARP Challenge2]
  • For requests to participate in Challenge 3, please write in the subject [SHARP Challenge3]
The deadline to register is February 15, 2021.

 

A data license agreement to access the 3DBodyTex.v2 or the 3DObjectTex.v1 dataset will be sent to all participants soon after. The data license agreements need to be signed and returned by email before March 10, 2021.

Access to download the training data will be given on March 15, 2021.

For any enquiries, please contact us on Shapify3D (at) uni.lu

    TEST

    A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

    TEST

    A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

    TEST

    A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

    TEST

    A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.