16 citations · 26 across the 7 of their papers we have counts for
9 papers
SeMLaPS: Real-time Semantic Mapping with Latent Prior Networks and Quasi-Planar Segmentation
Jingwen Wang, Juan Tarrio, Lourdes Agapito +2
The availability of real-time semantics greatly improves the core geometric functionality of SLAM systems, enabling numerous robotic and AR/VR applications. We present a new method…
Self-Supervised Depth Completion for Active Stereo
Frederik Warburg, Daniel Hernandez-Juarez, Juan Tarrio +3
Active stereo systems are used in many robotic applications that require 3D information. These depth sensors, however, suffer from stereo artefacts and do not provide dense depth e…
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Alexander Vakhitov, Luis Ferraz Colomina, Antonio Agudo +1
Perspective-n-Point-and-Line (PPL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major…
StylePeople: A Generative Model of Fullbody Human Avatars
Artur Grigorev, Karim Iskakov, Anastasia Ianina +4
We propose a new type of full-body human avatars, which combines parametric mesh-based body model with a neural texture. We show that with the help of neural textures, such avatars…
Real-time RGBD-based Extended Body Pose Estimation
Renat Bashirov, Anastasia Ianina, Karim Iskakov +4
We present a system for real-time RGBD-based estimation of 3D human pose. We use parametric 3D deformable human mesh model (SMPL-X) as a representation and focus on the real-time e…
Stereo relative pose from line and point feature triplets
Alexander Vakhitov, Victor Lempitsky, Yinqiang Zheng
Stereo relative pose problem lies at the core of stereo visual odometry systems that are used in many applications. In this work, we present two minimal solvers for the stereo rela…
Textured Neural Avatars
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev +9
We present a system for learning full-body neural avatars, i.e. deep networks that produce full-body renderings of a person for varying body pose and camera position. Our system ta…
Coordinate-based Texture Inpainting for Pose-Guided Image Generation
Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov +1
We present a new deep learning approach to pose-guided resynthesis of human photographs. At the heart of the new approach is the estimation of the complete body surface texture bas…
Set2Model Networks: Learning Discriminatively To Learn Generative Models
A. Vakhitov, A. Kuzmin, V. Lempitsky
We present a new "learning-to-learn"-type approach that enables rapid learning of concepts from small-to-medium sized training sets and is primarily designed for web-initialized im…