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Zhiwen Fan

4 papers hereh-index 457 citations5 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Zhiwen Fan — 47 papers, h 29
  • Zhiwen Fan — 20 papers, h 5
  • Zhiwen Fan — 7 papers, h 5
  • Zhiwen Fan — 5 papers, h 3
  • Zhiwen Fan — 1 paper
  • Zhiwen Fan — 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
20242026
most citedGaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting

7 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2026

NanoGS: Training-Free Gaussian Splat Simplification

Butian Xiong, Rong Liu, Tiantian Zhou +3

3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Spla…

cs.CV2025

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling

Kairun Wen, Yuzhi Huang, Runyu Chen +16

Understanding the dynamic physical world, characterized by its evolving 3D structure, real-world motion, and semantic content with textual descriptions, is crucial for human-agent…

cs.CV2025

X2-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction

Weihao Yu, Yuanhao Cai, Ruyi Zha +3

Four-dimensional computed tomography (4D CT) reconstruction is crucial for capturing dynamic anatomical changes but faces inherent limitations from conventional phase-binning workf…

cs.CV2024★ 7 cited

GaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting

Chenxin Li, Hengyu Liu, Zhiwen Fan +4

Recent advancements in large generative models and real-time neural rendering using point-based techniques pave the way for a future of widespread visual data distribution through…

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