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Found 6 papers, 2 papers with code
Coarse-to-Fine Multi-Scene Pose Regression with Transformers
Absolute camera pose regressors estimate the position and orientation of a camera given the captured image alone.
HyperPose: Camera Pose Localization using Attention Hypernetworks
In this study, we propose the use of attention hypernetworks in camera pose localization.
Paying Attention to Activation Maps in Camera Pose Regression
Transformers are applied to encode the sequential activation maps as latent vectors, used for camera pose regression.
Learning Multi-Scene Absolute Pose Regression with Transformers
Absolute camera pose regressors estimate the position and orientation of a camera from the captured image alone.
Do We Really Need Scene-specific Pose Encoders?
In this work, we propose that scene-specific pose encoders are not required for pose regression and that encodings trained for visual similarity can be used instead.
Introduction to Camera Pose Estimation with Deep Learning
Recently this idea was applied for regressing the absolute camera pose from an RGB image.
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