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Yuan Shen

4 papers hereh-index 377 citations6 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Yuan Shen — 22 papers, h 39
  • Yuan Shen — 7 papers, h 5
  • Yuan Shen — 6 papers, h 5
  • Yuan Shen — 6 papers, h 6
  • Yuan Shen — 5 papers, h 3
  • Yuan Shen — 5 papers, h 8

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

most citedEarthGen: Generating the World from Top-Down Views

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Demeter: A Parametric Model of Crop Plant Morphology from the Real World

Tianhang Cheng, Albert J. Zhai, Evan Z. Chen +13

Learning 3D parametric shape models of objects has gained popularity in vision and graphics and has showed broad utility in 3D reconstruction, generation, understanding, and simula…

cs.CV2024★ 2 cited

EarthGen: Generating the World from Top-Down Views

Ansh Sharma, Albert Xiao, Praneet Rathi +4

In this work, we present a novel method for extensive multi-scale generative terrain modeling. At the core of our model is a cascade of superresolution diffusion models that can be…

cs.CV2024

SuperGaussian: Repurposing Video Models for 3D Super Resolution

Yuan Shen, Duygu Ceylan, Paul Guerrero +4

We present a simple, modular, and generic method that upsamples coarse 3D models by adding geometric and appearance details. While generative 3D models now exist, they do not yet m…

cs.CV2024

Physical Property Understanding from Language-Embedded Feature Fields

Albert J. Zhai, Yuan Shen, Emily Y. Chen +5

Can computers perceive the physical properties of objects solely through vision? Research in cognitive science and vision science has shown that humans excel at identifying materia…

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