The 2nd SHApe Recovery from Partial textured 3D scans (SHARP) Workshop and Challenge will be held virtually in conjunction with CVPR on the afternoon of June 25, 2021. 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 data. This workshop will host a competition on the reconstruction of full high-resolution 3D meshes from partial or noisy 3D scans. It 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 (https://cvi2.uni.lu/datasets/), 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 (https://viewshape.com). 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, to be 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 (https://cvi2.uni.lu/sharp2020/).

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:

1) Challenge 1: Recovery of Human Body Scans.

The task of this challenge is to reconstruct a full 3D textured mesh from a partial 3D human scan acquisition. 3DBodyTex.v2 is used, which consists of about 2500 clothed scans with a large diversity in clothing and in poses.

By entering Challenge 1, participants agree to be bound by these Terms and Conditions.

2) Challenge 2: Recovery of Generic Object Scans.

This challenge is focused on textured 3D scans of generic objects. It uses 3DObjectTex.v1 dataset – a subset from the ViewShape repository – containing 2000 textured 3D scans of very diverse objects.

By entering Challenge 2, participants agree to be bound by these Terms and Conditions.

3) Challenge 3: Recovery of Fine Details in 3D Objects.

This challenge is focused on recovering feature edges of 3D scans. In this challenge, the very recently introduced CC3D dataset is considered. The CC3D dataset contains 50k+ pairs of CAD models and their corresponding 3D scans.

By entering Challenge 3, participants agree to be bound by these Terms and Conditions.

In an effort to give more researchers the opportunity to participate in the SHARP 2021 challenges, an online participation is now open. All tracks will be available with the same deadline for registration. Instead of submitting an accompanying paper, participants will be required to submit a code. Submitting an accompanying paper, to be included in the proceedings of CVPR, is still highly encouraged.

Participants in one or multiple tracks of the SHARP Challenge are expected to document their results by submitting:

– long papers (max 8 pages excluding references): when submitting completely original work, not previously published, accepted for publication, or under review in any peer-reviewed venue including journals, conferences or workshops.

– short papers (max 4 pages including references): when submitting a shared content with a paper accepted at CVPR (or any other conference, workshop or journal).

All accepted papers will be included in the CVPR 2021 conference proceedings. The papers will be peer-reviewed and they must comply with the CVPR 2021 proceedings style and format.