Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 29, 2024Open Access

FaceLift: Semi-supervised 3D Facial Landmark Localization

View Full Paper
Ask AI
Bookmark
Share

Authors

DFDavid FermanThe University of Texas at AustinPPPablo Garrido PintadoUniversidad Complutense de MadridGBGaurav BharajIntraMedical Imaging (United States)

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Ferman et al. (2024) studied this question.

synapsesocial.com/papers/68e67f72b6db64358760926bhttps://doi.org/10.48550/arxiv.2405.19646
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1LAFS: Landmark-Based Facial Self-Supervised Learning for Face Recognition2024 · 22 citations
  2. 2SEMNet: A Simple and Efficient MLP-based Network for 3D Face Point Clouds Landmarks Localization2024
  3. 3LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition2024
  4. 4Deep Learning for Enhanced 3D Landmark Positioning: Addressing Biases in Traditional Registration Methods2026
  5. 5PAL-Net: A point-wise CNN with patch-attention for 3D anatomical facial landmark localization2025