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Yao Yao

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV4
ORCID 0000-0001-9866-4291
same name
  • Yao Yao — 16 papers, h 20
  • Yao Yao — 13 papers, h 20
  • Yao Yao — 8 papers
  • Yao Yao — 8 papers
  • Yao Yao — 7 papers, h 19
  • Yao Yao — 7 papers

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 citedAnti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

3 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video

Yanqin Jiang, Li Zhang, Jin Gao +2

In this paper, we present Consistent4D, a novel approach for generating 4D dynamic objects from uncalibrated monocular videos. Uniquely, we cast the 360-degree dynamic object recon…

cs.CV2023★ 2 cited

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Jingyang Zhang, Shiwei Li, Yuanxun Lu +5

We introduce JointNet, a novel neural network architecture for modeling the joint distribution of images and an additional dense modality (e.g., depth maps). JointNet is extended f…

cs.CV2023★ 3 cited

Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

Yiyu Zhuang, Qi Zhang, Ying Feng +6

We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…

cs.CV2023★ 2 cited

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

Jingyang Zhang, Yao Yao, Shiwei Li +5

We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images. In contrast to previous methods which assume a s…

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