2 papers
cs.CV2026
NeuralSRNF: Neural Square Root Normal Fields for the Statistical Shape Analysis and Generation of Nonrigid 3D and 4D Objects
Awais Nizamani, Hamid Laga, Guanjin Wang +3
We introduce NeuralSRNF, a novel framework for the statistical shape analysis and generation of genus-zero 3D and 4D objects that undergo nonrigid deformations. Traditional methods…
stat.ME2023
Peak-Persistence Diagrams for Estimating Shapes and Functions from Noisy Data
Woo Min Kim, Sutanoy Dasgupta, Anuj Srivastava
Estimating signals underlying noisy data is a significant problem in statistics and engineering. Numerous estimators are available in the literature, depending on the observation m…