◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

L. Kobbelt

16 papers hereh-index 7121.2k citations347 works total

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

author position
  • middle author4
  • last author12

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.CG3
  • cs.GR3
same name
  • L. Kobbelt — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedPRS-Net: Planar Reflective Symmetry Detection Net for 3D Models

55 citations · 161 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CV2023

Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches

Gregor Kobsik, Isaak Lim, Leif Kobbelt

Detecting partial extrinsic symmetry in 3D geometry is a fundamental yet persistent challenge in computer vision and graphics, critical for tasks ranging from shape completion to p…

cs.CV2023★ 2 cited

Neural Implicit Shape Editing using Boundary Sensitivity

Arturs Berzins, Moritz Ibing, Leif Kobbelt

Neural fields are receiving increased attention as a geometric representation due to their ability to compactly store detailed and smooth shapes and easily undergo topological chan…

cs.CV2023★ 1 cited

Adaptive Voronoi NeRFs

Tim Elsner, Victor Czech, Julia Berger +3

Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images. Increasing sizes of a scene demands more complex functions, typically represented…

◍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.