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Marching Primitives ⭐ 60

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

Bayesian Matting ⭐ 51

Python implementation of Bayesian Matting from Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001

Awesome Active Learning ⭐ 46

A list of active learning methods for deep learning.

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

Robust Superellipse Fitting ⭐ 6

An efficient and robust probabilistic approach for fitting superellipse to point clouds.

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