3.1k citations · 14.2k across the 134 of their papers we have counts for
158 papers
3D-Aware Instance Segmentation and Tracking in Egocentric Videos
Yash Bhalgat, Vadim Tschernezki, Iro Laina +3
Egocentric videos present unique challenges for 3D scene understanding due to rapid camera motion, frequent object occlusions, and limited object visibility. This paper introduces…
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields
Yash Bhalgat, Iro Laina, João F. Henriques +2
Understanding complex scenes at multiple levels of abstraction remains a formidable challenge in computer vision. To address this, we introduce Nested Neural Feature Fields (N2F2),…
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds
Minghao Chen, Junyu Xie, Iro Laina +1
We propose a novel feed-forward 3D editing framework called Shap-Editor. Prior research on editing 3D objects primarily concentrated on editing individual objects by leveraging off…
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
We introduce the \method, an ultra-efficient approach for monocular 3D object reconstruction. Splatter Image is based on Gaussian Splatting, which allows fast and high-quality reco…
No Representation Rules Them All in Category Discovery
Sagar Vaze, Andrea Vedaldi, Andrew Zisserman
In this paper we tackle the problem of Generalized Category Discovery (GCD). Specifically, given a dataset with labelled and unlabelled images, the task is to cluster all images in…
HoloFusion: Towards Photo-realistic 3D Generative Modeling
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi +1
Diffusion-based image generators can now produce high-quality and diverse samples, but their success has yet to fully translate to 3D generation: existing diffusion methods can eit…