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researcher

Anpei Chen

ETH Zürich

17 papers hereh-index 174.1k citations23 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.AR1
  • cs.CG1
affiliations
  • ETH Zürich
  • University of Tübingen
HomepageORCID 0000-0003-2150-2176
same name
  • Anpei Chen — 18 papers, h 11
  • Anpei Chen — 4 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
20172025
most citedSofGAN: A Portrait Image Generator with Dynamic Styling

63 citations · 238 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 6 cited

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

Liangchen Song, Anpei Chen, Zhong Li +5

Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-term quest. The task is especially appealing when only a few or even single RGB cameras are…

cs.CV2022★ 4 cited

PREF: Phasorial Embedding Fields for Compact Neural Representations

Binbin Huang, Xinhao Yan, Anpei Chen +2

We present an efficient frequency-based neural representation termed PREF: a shallow MLP augmented with a phasor volume that covers significant border spectra than previous Fourier…

cs.CV2022★ 1 cited

TensoRF: Tensorial Radiance Fields

Anpei Chen, Zexiang Xu, Andreas Geiger +2

We present TensoRF, a novel approach to model and reconstruct radiance fields. Unlike NeRF that purely uses MLPs, we model the radiance field of a scene as a 4D tensor, which repre…

cs.AR2022

ICARUS: A Specialized Architecture for Neural Radiance Fields Rendering

Chaolin Rao, Huangjie Yu, Haochuan Wan +9

The practical deployment of Neural Radiance Fields (NeRF) in rendering applications faces several challenges, with the most critical one being low rendering speed on even high-end…

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