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Stephen Lombardi

14 papers hereh-index 223.1k citations30 works total

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

author position
  • first author4
  • middle author9
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.GR3
same name
  • Stephen Lombardi — 5 papers, h 3

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
20162023
most citedNeural Volumes: Learning Dynamic Renderable Volumes from Images

680 citations · 1.1k across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Ziyan Wang, Giljoo Nam, Tuur Stuyck +4

Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical interaction and its non-trivial visual appearance.Yet,…

cs.CV2021

Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality

Amin Jourabloo, Baris Gecer, Fernando De la Torre +7

Social presence, the feeling of being there with a real person, will fuel the next generation of communication systems driven by digital humans in virtual reality (VR). The best 3D…

cs.GR2021★ 2 cited

Mixture of Volumetric Primitives for Efficient Neural Rendering

Stephen Lombardi, Tomas Simon, Gabriel Schwartz +3

Real-time rendering and animation of humans is a core function in games, movies, and telepresence applications. Existing methods have a number of drawbacks we aim to address with o…

cs.CV2021★ 22 cited

PVA: Pixel-aligned Volumetric Avatars

Amit Raj, Michael Zollhoefer, Tomas Simon +4

Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.