CVI2

The 2nd SHApe Recovery from Partial textured 3D scans (SHARP) Workshop and Challenge will be held virtually in conjunction with CVPR on June 25, 2021 (4:00 p.m. – 8:30 p.m. CET). Research on data-driven 3D reconstruction of shapes has been very active in the past years thanks to the availability of large datasets of 3D models. However, the focus has been so far on recovering the geometry only and very little has been proposed for reconstructing full 3D objects with shape and texture at the same time.

The goal of this workshop is to promote concepts that exploit both shape and texture in the processing of 3D scans in general, with a special attention to the specific task of recovery from partial and noisy data.

This workshop will host a paper submission track and a competition:

• The paper submission track encourages participants to submit novel contributions on data-driven shape and texture processing. A call for papers specifying the topics of interest can be found below.
• The competition focuses on the reconstruction of full high-resolution 3D meshes from partial or noisy 3D scans and includes 3 challenges and 3 datasets:
  • The first one involves the recovery of textured 3D human body scans. The dataset used in this scope is the 3DBodyTex.v2 dataset, containing 2500 textured 3D scans. It is an extended version of the original 3DBodyTex data, first published in the 2018 International Conference on 3D Computer Vision, 3DV 2018.
  • The second challenge involves the recovery of generic object scans from the 3DObjectTex.v2 dataset, which is a subset from the ViewShape online repository of 3D scans. This dataset contains over 2000 various generic objects with different levels of complexity in texture and geometry.
  • The third challenge focuses on the recovery of fine object details in the form of sharp edges from noisy sparse scans with soft edges. The CC3D dataset, introduced at the 2020 IEEE International Conference on Image Processing (ICIP), will be used for this purpose. It contains over 50k pairs of CAD models and their corresponding 3D scans.

This is the second edition of SHARP, after the first one held successfully in conjunction with ECCV 2020.

We propose three challenges. The task of the challenges is to reconstruct a full 3D textured mesh from a partial 3D scan. The first challenge is for human bodies, while the second and third challenges are for a variety of generic objects. The third challenge launches a new unique dataset.

🏆 An overall 9k€ will be awarded as cash prizes to the winners.

All challenges will be available with the same deadline for registration. In order to participate to SHARP challenges, participants have to submit a short accompanying paper describing their proposed solutions. Details on the submission of the accompanying papers will be communicated soon. A working implementation of the method is optional, but encouraged.