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Found 6 papers, 4 papers with code
Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation
Recent works in novel-view synthesis have shown how to model the appearance of a scene via a cloud of 3D Gaussians, and how to generate accurate images from a given viewpoint by projecting on it the Gaussians before $\alpha$ blending their color.
PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections
Robustly estimating camera poses from a set of images is a fundamental task which remains challenging for differentiable methods, especially in the case of small and sparse camera pose graphs.
3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset
Efficient visual localization is crucial to many applications, such as large-scale deployment of autonomous agents and augmented reality.
PoserNet: Refining Relative Camera Poses Exploiting Object Detections
The estimation of the camera poses associated with a set of images commonly relies on feature matches between the images.
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
We present a new technique for the learning of continuous energy functions that we refer to as Wibergian Learning.
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
We propose a CNN-based approach for multi-camera markerless motion capture of the human body.
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3D Human Pose Estimation
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