16 citations · 16 across the 2 of their papers we have counts for
5 papers · 1 filter
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…
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…
Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky +1
We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views. The first (b…
Semi-parametric Image Inpainting
Karim Iskakov
This paper introduces a semi-parametric approach to image inpainting for irregular holes. The nonparametric part consists of an external image database. During test time database i…