SAGE self-learns Gaussian expression deformations via joint surfel-SDF optimization and self-supervised consistency, enabling comparable avatar quality from single frames, monocular rotations, or one-shot inputs.
Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering
3 Pith papers cite this work, alongside 24 external citations. Polarity classification is still indexing.
3
Pith papers citing it
24
external citations · external index
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
A nine-camera multi-view workflow with 4D Gaussian Splatting reconstructs dynamic vessel surfaces in thrombectomy phantoms to enable standardized comparative displacement and stress-proxy tracking.
citing papers explorer
-
Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars
SAGE self-learns Gaussian expression deformations via joint surfel-SDF optimization and self-supervised consistency, enabling comparable avatar quality from single frames, monocular rotations, or one-shot inputs.
-
4D Vessel Reconstruction for Benchtop Thrombectomy Analysis
A nine-camera multi-view workflow with 4D Gaussian Splatting reconstructs dynamic vessel surfaces in thrombectomy phantoms to enable standardized comparative displacement and stress-proxy tracking.
- GSDeformer: Direct, Real-time and Extensible Cage-based Deformation for 3D Gaussian Splatting