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Omniglue: Generalizable feature matching with foundation model guidance
The image matching field has been witnessing a continuous emergence of novel learnable
feature matching techniques with ever-improving performance on conventional benchmarks …
feature matching techniques with ever-improving performance on conventional benchmarks …
NodeSLAM: Neural object descriptors for multi-view shape reconstruction
The choice of scene representation is crucial in both the shape inference algorithms it
requires and the smart applications it enables. We present efficient and optimisable multi …
requires and the smart applications it enables. We present efficient and optimisable multi …
Rfd-net: Point scene understanding by semantic instance reconstruction
Semantic scene understanding from point clouds is particularly challenging as the points
reflect only a sparse set of the underlying 3D geometry. Previous works often convert point …
reflect only a sparse set of the underlying 3D geometry. Previous works often convert point …
Mask2cad: 3d shape prediction by learning to segment and retrieve
W Kuo, A Angelova, TY Lin, A Dai - … , Glasgow, UK, August 23–28, 2020 …, 2020 - Springer
Object recognition has seen significant progress in the image domain, with focus primarily
on 2D perception. We propose to leverage existing large-scale datasets of 3D models to …
on 2D perception. We propose to leverage existing large-scale datasets of 3D models to …
Pixel-aligned recurrent queries for multi-view 3d object detection
Y **e, H Jiang, G Gkioxari… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We present PARQ-a multi-view 3D object detector with transformer and pixel-aligned
recurrent queries. Unlike previous works that use learnable features or only encode 3D point …
recurrent queries. Unlike previous works that use learnable features or only encode 3D point …
Snap2cad: 3D indoor environment reconstruction for AR/VR applications using a smartphone device
Indoor environment reconstruction is a challenging task in Computer Vision and Computer
Graphics, especially when Extended Reality (XR) technologies are considered. Current …
Graphics, especially when Extended Reality (XR) technologies are considered. Current …
Pins: progressive implicit networks for multi-scale neural representations
Z Landgraf, AS Hornung, RS Cabral - arxiv preprint arxiv:2202.04713, 2022 - arxiv.org
Multi-layer perceptrons (MLP) have proven to be effective scene encoders when combined
with higher-dimensional projections of the input, commonly referred to as\textit {positional …
with higher-dimensional projections of the input, commonly referred to as\textit {positional …
Rangeudf: Semantic surface reconstruction from 3d point clouds
We present RangeUDF, a new implicit representation based framework to recover the
geometry and semantics of continuous 3D scene surfaces from point clouds. Unlike …
geometry and semantics of continuous 3D scene surfaces from point clouds. Unlike …
Dynamic convolution for 3D point cloud instance segmentation
T He, C Shen, A Van Den Hengel - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we come up with a simple yet effective approach for instance segmentation on
3D point cloud with strong robustness. Previous top-performing methods for this task adopt a …
3D point cloud with strong robustness. Previous top-performing methods for this task adopt a …
Sdfest: Categorical pose and shape estimation of objects from rgb-d using signed distance fields
L Bruns, P Jensfelt - IEEE Robotics and Automation Letters, 2022 - ieeexplore.ieee.org
Rich geometric understanding of the world is an important component of many robotic
applications such as planning and manipulation. In this paper, we present a modular …
applications such as planning and manipulation. In this paper, we present a modular …