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06/12/2023
4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements
This work presents 4DHumanOutfit, a new dataset of densely sampled spati...
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05/29/2023
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge
Teeth localization, segmentation, and labeling from intra-oral 3D scans ...
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10/12/2022
Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans
Teeth segmentation and labeling are critical components of Computer-Aide...
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08/31/2022
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)
In this paper, we address the problem of multi-view 3D shape reconstruct...
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10/23/2021
Vertebrae segmentation, identification and localization using a graph optimization and a synergistic cycle
This paper considers the segmentation, identification and localization o...
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09/03/2021
Neural Human Deformation Transfer
We consider the problem of human deformation transfer, where the goal is...
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09/03/2021
3D Human Shape Style Transfer
We consider the problem of modifying/replacing the shape style of a real...
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04/16/2021
Learning Implicit 3D Representations of Dressed Humans from Sparse Views
Recently, data-driven single-view reconstruction methods have shown grea...
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03/23/2021
DualConv: Dual Mesh Convolutional Networks for Shape Correspondence
Convolutional neural networks have been extremely successful for 2D imag...
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12/14/2020
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration
Matching articulated shapes represented by voxel-sets reduces to maximal...
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12/10/2020
Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction
Triangulated meshes have become ubiquitous discrete-surface representati...
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12/08/2020
Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals
We address the problem of human motion tracking by registering a surface...
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07/20/2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Generative models have proven effective at modeling 3D shapes and their ...
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03/21/2020
Cross-modal Deep Face Normals with Deactivable Skip Connections
We present an approach for estimating surface normals from in-the-wild c...
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08/20/2019
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
We study end-to-end learning strategies for 3D shape inference from imag...
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02/10/2019
A Generative 3D Facial Model by Adversarial Training
We consider data-driven generative models for the 3D face, and focus in ...
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06/16/2017
Dynamic Filters in Graph Convolutional Networks
Convolutional neural networks (CNNs) have massively impacted visual reco...
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01/06/2016
