16 citations · 16 across the 4 of their papers we have counts for
5 papers
MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video
Renat Bashirov, Alexey Larionov, Evgeniya Ustinova +4
We present a system to create Mobile Realistic Fullbody (MoRF) avatars. MoRF avatars are rendered in real-time on mobile devices, learned from monocular videos, and have high reali…
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
David Svitov, Dmitrii Gudkov, Renat Bashirov +1
We present DINAR, an approach for creating realistic rigged fullbody avatars from single RGB images. Similarly to previous works, our method uses neural textures combined with the…
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…