Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Neural slicer for multi-axis 3D printing
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 …
agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with …
[Free GPT-4]
[DeepSeek]
[DeepSeek]
The ability to recover tissue deformation from surgical video is fundamental for many
downstream applications in robotic surgery. Despite noticeable advancements, this task …
downstream applications in robotic surgery. Despite noticeable advancements, this task …
NICP: neural ICP for 3D human registration at scale
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 …
like animation, reconstruction, and enabling supervised learning pipelines. Recent data …
Nephi: Neural deformation fields for approximately diffeomorphic medical image registration
This work proposes NePhi, a generalizable neural deformation model which results in
approximately diffeomorphic transformations. In contrast to the predominant voxel-based …
approximately diffeomorphic transformations. In contrast to the predominant voxel-based …
Deformation Recovery: Localized Learning for Detail-Preserving Deformations
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 …
deformations based on a coarse localized input signal. Unlike previous data-driven methods …
Learning canonical embeddings for unsupervised shape correspondence with locally linear transformations
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 …
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 …
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 …
like animation, reconstruction, and most supervised learning pipelines. Recent data-driven …