9 papers
BAT3R: Bootstrapping Articulated 3D Reconstruction from 2D Image Collections
Jakub Zadrozny, Oisin Mac Aodha, Hakan Bilen
3D reconstruction of articulated objects from a single image is challenging because large training datasets with paired image and 3D supervision are difficult to obtain. Recent poi…
MoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors
Zhipeng Du, Duolikun Danier, Jan Eric Lenssen +1
In this paper, we focus on online zero-shot monocular 3D instance segmentation, a novel practical setting where existing approaches fail to perform because they rely on posed RGB-D…
Do View-Consistent Representations Matter for Camera-Controlled Video Generation?
Duolikun Danier, Ge Gao, Steven McDonagh +4
Camera-controlled video generation has attracted increasing interest for its applications in simulation, gaming, and world modeling. However, current models often deform rigid obje…
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Octave Mariotti, Zhipeng Du, Yash Bhalgat +2
Semantic correspondence (SC) aims to establish semantically meaningful matches across different instances of an object category. We illustrate how recent supervised SC methods rema…
HumMorph: Generalized Dynamic Human Neural Fields from Few Views
Jakub Zadrożny, Hakan Bilen
We introduce HumMorph, a novel generalized approach to free-viewpoint rendering of dynamic human bodies with explicit pose control. HumMorph renders a human actor in any specified…
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Duolikun Danier, Mehmet Aygün, Changjian Li +2
Large-scale pre-trained vision models are becoming increasingly prevalent, offering expressive and generalizable visual representations that benefit various downstream tasks. Recen…
Looking 3D: Anomaly Detection with 2D-3D Alignment
Ankan Bhunia, Changjian Li, Hakan Bilen
Automatic anomaly detection based on visual cues holds practical significance in various domains, such as manufacturing and product quality assessment. This paper introduces a new…
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
Ankan Bhunia, Changjian Li, Hakan Bilen
This paper introduces a novel anomaly detection (AD) problem aimed at identifying `odd-looking' objects within a scene by comparing them to other objects present. Unlike traditiona…
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
Recent progress in self-supervised representation learning has resulted in models that are capable of extracting image features that are not only effective at encoding image level,…