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Gang Zeng

9 papers hereh-index 6118 citations10 works total

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

author position
  • middle author6
  • last author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Gang Zeng — 25 papers, h 36
  • Gang Zeng — 7 papers, h 7
  • Gang Zeng — 3 papers, h 3
  • Gang Zeng — 1 paper, h 2

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 citedGaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis

Diwen Wan, Yuxiang Wang, Ruijie Lu +1

While novel view synthesis for dynamic scenes has made significant progress, capturing skeleton models of objects and re-posing them remains a challenging task. To tackle this prob…

cs.CV2024

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes

Ruijie Lu, Yixin Chen, Junfeng Ni +5

Repurposing pre-trained diffusion models has been proven to be effective for NVS. However, these methods are mostly limited to a single object; directly applying such methods to co…

cs.CV2024

Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction

Diwen Wan, Ruijie Lu, Gang Zeng

Rendering novel view images in dynamic scenes is a crucial yet challenging task. Current methods mainly utilize NeRF-based methods to represent the static scene and an additional t…

cs.CV2024

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting

Qi Wang, Ruijie Lu, Xudong Xu +5

The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry,…

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