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Xiaoming Zhao

14 papers hereh-index 9325 citations16 works total

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

author position
  • first author7
  • middle author7

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

fields
  • cs.CV13
  • cs.LG1
Homepage
same name
  • Xiaoming Zhao — 4 papers, h 5
  • Xiaoming Zhao — 3 papers, h 2
  • Xiaoming Zhao — 1 paper, h 2
  • Xiaoming Zhao — 1 paper, h 1
  • Xiaoming Zhao — 1 paper, 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
20192026
most citedClass-agnostic Reconstruction of Dynamic Objects from Videos

6 citations · 10 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

3D Shape Tokenization via Latent Flow Matching

Jen-Hao Rick Chang, Yuyang Wang, Miguel Angel Bautista Martin +4

We introduce a latent 3D representation that models 3D surfaces as probability density functions in 3D, i.e., p(x,y,z), with flow-matching. Our representation is specifically desig…

cs.CV2024

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows

Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao +4

We present a method for automatically modifying a NeRF representation based on a single observation of a non-rigid transformed version of the original scene. Our method defines the…

cs.CV2024★ 1 cited

IllumiNeRF: 3D Relighting Without Inverse Rendering

Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin +3

Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoin…

cs.CV2024★ 2 cited

GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh

Jing Wen, Xiaoming Zhao, Zhongzheng Ren +2

We introduce GoMAvatar, a novel approach for real-time, memory-efficient, high-quality animatable human modeling. GoMAvatar takes as input a single monocular video to create a digi…

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