LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer

Oct-9-2025, 00:39:12 GMT–Neural Information Processing Systems

In this work, we propose a novel 3D Transformer framework called LART for 3D motion transfer.

artificial intelligence, machine learning, mesh, (18 more...)

Neural Information Processing Systems

Oct-9-2025, 00:39:12 GMT

Conferences PDF

Country:
- Asia > Japan
  - Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
- Europe
  - Belgium > Flanders
    - Flemish Brabant > Leuven (0.04)
  - Bulgaria (0.14)
  - Finland > Northern Ostrobothnia
    - Oulu (0.05)
  - Germany > Bavaria
    - Lower Franconia > Würzburg (0.04)
  - Italy > Calabria
    - Catanzaro Province > Catanzaro (0.04)
  - Switzerland > Zürich
    - Zürich (0.04)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning > Neural Networks
      - Deep Learning (1.00)
    - Vision (1.00)
  - Graphics (0.94)

Duplicate Docs Excel Report

Title
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer

Similar Docs Excel Report more

Title	Similarity	Source
None found