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20232026
most citedLiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting

2 citations · 2 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

GS-PI: An Optimization-Decoupled Appearance Decomposition Approach for Generating PBR Gaussian Assets

Jieting Xu, Rengan Xie, Zijian Huang +3

Gaussian Splatting (GS) excels at novel-view synthesis but encodes baked-in radiance, tightly entangling illumination with geometry and preventing seamless integration into physica…

cs.GR2026

ESG: Generating Physically Consistent Dynamic 3D Scenes from Text Descriptions

Xintong Fang, Zhiyuan Fang, Rengan Xie +6

Recent progress in image and 3D scene generation has enabled increasingly realistic static environments, yet most methods remain confined to such static configurations. Generating…

cs.CV2026

ES3D: Embedding Semantics into 3D Space for Component-Aware Editing

Xuancheng Jin, Rengan Xie, Jiayuan Lu +5

Existing 3D editing methods have made notable progress in controllability, yet they remain limited in several important ways. Most approaches rely on text-driven editing, which str…

cs.CV2026

HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation

Bin Zang, Wenting Zheng, Xiaoliang Luo +8

Recently, a line of works can generate impressive 3D objects from a single image, but they are limited by restricted representation resolution, making them unsuitable for 3D scene…

cs.CV2026

Texture++: Elevating 3D Asset Texture Resolution with a Region-Aware Diffusion Model

Shuaiwei Wang, Shi Li, Jieting Xu +4

Numerous 3D assets are discarded due to low texture resolution, while current super-resolution models ignore texture maps and focus on natural images. An efficient and generalizabl…