activity
20192026
most citedNeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

14 citations · 38 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

ChatSplat: 3D Conversational Gaussian Splatting

Hanlin Chen, Fangyin Wei, Gim Hee Lee

Humans naturally interact with their 3D surroundings using language, and modeling 3D language fields for scene understanding and interaction has gained growing interest. This paper…

cs.CV2024

Generalizable Human Gaussians from Single-View Image

Jinnan Chen, Chen Li, Jianfeng Zhang +4

In this work, we tackle the task of learning 3D human Gaussians from a single image, focusing on recovering detailed appearance and geometry including unobserved regions. We introd…

cs.CV2024★ 3 cited

VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Hanlin Chen, Fangyin Wei, Chen Li +3

Although 3D Gaussian Splatting has been widely studied because of its realistic and efficient novel-view synthesis, it is still challenging to extract a high-quality surface from t…

cs.CV2024★ 3 cited

FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes

Yunsong Wang, Tianxin Huang, Hanlin Chen +1

Empowering 3D Gaussian Splatting with generalization ability is appealing. However, existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range interp…

cs.CV2024

GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields

Yunsong Wang, Hanlin Chen, Gim Hee Lee

Recent advancements in vision-language foundation models have significantly enhanced open-vocabulary 3D scene understanding. However, the generalizability of existing methods is co…