3 papers
cs.CV2025
PAOLI: Pose-free Articulated Object Learning from Sparse-view Images
Jianning Deng, Kartic Subr, Hakan Bilen
We present a method for modeling articulated objects from sparse images with unknown camera poses. Existing approaches require dense multi-view observations and ground-truth camera…
cs.CV2024
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
Jianning Deng, Kartic Subr, Hakan Bilen
We propose a novel unsupervised method to learn the pose and part-segmentation of articulated objects with rigid parts. Given two observations of an object in different articulatio…
cs.CV2019
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
James Thewlis, Samuel Albanie, Hakan Bilen +1
Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision. How…