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Found 10 papers, 6 papers with code
Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score
Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and correspondingly the need for a specially prepared ground truth labels for such points.
SeMLaPS: Real-time Semantic Mapping with Latent Prior Networks and Quasi-Planar Segmentation
We present a new methodology for real-time semantic mapping from RGB-D sequences that combines a 2D neural network and a 3D network based on a SLAM system with 3D occupancy mapping.
NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi detector
Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and, correspondingly, the need for specially prepared ground truth labels for such points.
Self-Supervised Depth Completion for Active Stereo
Active stereo systems are used in many robotic applications that require 3D information.
Uncertainty-Aware Camera Pose Estimation from Points and Lines
The new PnP(L) methods outperform the state-of-the-art on real data in isolation, showing an increase in mean translation accuracy by 18% on a representative subset of KITTI, while the new uncertain refinement improves pose accuracy for most of the solvers, e. g. decreasing mean translation error for the EPnP by 16% compared to the standard refinement on the same dataset.
StylePeople: A Generative Model of Fullbody Human Avatars
We show that with the help of neural textures, such avatars can successfully model clothing and hair, which usually poses a problem for mesh-based approaches.
Real-time RGBD-based Extended Body Pose Estimation
We use parametric 3D deformable human mesh model (SMPL-X) as a representation and focus on the real-time estimation of parameters for the body pose, hands pose and facial expression from Kinect Azure RGB-D camera.
Stereo relative pose from line and point feature triplets
In this work, we present two minimal solvers for the stereo relative pose.
Textured Neural Avatars
In particular, our system estimates an explicit two-dimensional texture map of the model surface.
Coordinate-based Texture Inpainting for Pose-Guided Image Generation
Since the input photograph always observes only a part of the surface, we suggest a new inpainting method that completes the texture of the human body.
