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20162022
most citedLarge-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

53 citations · 89 across the 9 of their papers we have counts for

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27 papers · 1 filter

cs.CV20224 cited

NPBG++: Accelerating Neural Point-Based Graphics

Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky +1

We present a new system (NPBG++) for the novel view synthesis (NVS) task that achieves high rendering realism with low scene fitting time. Our method efficiently leverages the mult…

cs.CV2021

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…

cs.CV2021

Point-Based Modeling of Human Clothing

Ilya Zakharkin, Kirill Mazur, Artur Grigorev +1

We propose a new approach to human clothing modeling based on point clouds. Within this approach, we learn a deep model that can predict point clouds of various outfits, for variou…

cs.CV2021

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…

cs.CV2021

CNN with large memory layers

Rasul Karimov, Yury Malkov, Karim Iskakov +1

This work is centred around the recently proposed product key memory structure \cite{large_memory}, implemented for a number of computer vision applications. The memory structure c…

cs.CV20208 cited

Relightable 3D Head Portraits from a Smartphone Video

Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer +2

In this work, a system for creating a relightable 3D portrait of a human head is presented. Our neural pipeline operates on a sequence of frames captured by a smartphone camera wit…