◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

I. Pasechnik

4 papers hereh-index 3277 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedNeural Head Reenactment with Latent Pose Descriptors

111 citations · 130 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

CADENA: Stepwise CAD Reverse Engineering

Soslan Kabisov, Gennadiy Savrasov, Maksim Elistratov +9

Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still demands substantial expert effort. Most AI systems emit the enti…

cs.CV2020★ 3 cited

Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors

Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev +7

Consumer-level depth cameras and depth sensors embedded in mobile devices enable numerous applications, such as AR games and face identification. However, the quality of the captur…

cs.CV2020★ 111 cited

Neural Head Reenactment with Latent Pose Descriptors

Egor Burkov, Igor Pasechnik, Artur Grigorev +1

We propose a neural head reenactment system, which is driven by a latent pose representation and is capable of predicting the foreground segmentation alongside the RGB image. The l…

cs.CV2019★ 16 cited

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.