Neural slicer for multi-axis 3D printing

T Liu, T Zhang, Y Chen, Y Huang… - ACM Transactions on …, 2024 - dl.acm.org
We introduce a novel neural network-based computational pipeline as a representation-
agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with …
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S Gong, Y Long, K Chen, J Liu, Y **ao… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
The ability to recover tissue deformation from surgical video is fundamental for many
downstream applications in robotic surgery. Despite noticeable advancements, this task …

NICP: neural ICP for 3D human registration at scale

R Marin, E Corona, G Pons-Moll - European Conference on Computer …, 2024 - Springer
Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks
like animation, reconstruction, and enabling supervised learning pipelines. Recent data …

Nephi: Neural deformation fields for approximately diffeomorphic medical image registration

L Tian, H Greer, RS José Estépar, R Sengupta… - … on Computer Vision, 2024 - Springer
This work proposes NePhi, a generalizable neural deformation model which results in
approximately diffeomorphic transformations. In contrast to the predominant voxel-based …

Deformation Recovery: Localized Learning for Detail-Preserving Deformations

R Sundararaman, N Donati, S Melzi… - ACM Transactions on …, 2024 - dl.acm.org
We introduce a novel data-driven approach aimed at designing high-quality shape
deformations based on a coarse localized input signal. Unlike previous data-driven methods …

Learning canonical embeddings for unsupervised shape correspondence with locally linear transformations

P He, P Emami, S Ranka… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We present a new approach to unsupervised shape correspondence learning between pairs
of point clouds. We make the first attempt to adapt the classical locally linear embedding …

Learning Generalizable Deformations From Images

L Tian - 2024 - search.proquest.com
Medical image registration aims to estimate the spatial transformation between two medical
images. It plays a crucial role in various medical applications, including longitudinal studies …

NF-ICP: Neural Field ICP for Robust 3D Human Registration

R Marin, E Corona, G Pons-Moll - openreview.net
Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks
like animation, reconstruction, and most supervised learning pipelines. Recent data-driven …