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20212026
most citedEfficient Density Control for 3D Gaussian Splatting

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders

Tianhang Wang, Yitong Chen, Wei Song +3

Representation Autoencoders (RAEs) leverage frozen vision foundation models (VFMs) as tokenizer encoders, providing robust high-level representations that facilitate fast convergen…

cs.CV2025

Gradient-Driven Natural Selection for Compact 3D Gaussian Splatting

Xiaobin Deng, Qiuli Yu, Changyu Diao +2

3DGS employs a large number of Gaussian primitives to fit scenes, resulting in substantial storage and computational overhead. Existing pruning methods rely on manually designed cr…

cs.CV2025

Improving Densification in 3D Gaussian Splatting for High-Fidelity Rendering

Xiaobin Deng, Changyu Diao, Min Li +2

Although 3D Gaussian Splatting (3DGS) has achieved impressive performance in real-time rendering, its densification strategy often results in suboptimal reconstruction quality. In…

cs.CV2024★ 1 cited

Efficient Density Control for 3D Gaussian Splatting

Xiaobin Deng, Changyu Diao, Min Li +2

3D Gaussian Splatting (3DGS) has demonstrated outstanding performance in novel view synthesis, achieving a balance between rendering quality and real-time performance. 3DGS employs…

cs.CV2021★ 1 cited

ShufaNet: Classification method for calligraphers who have reached the professional level

Ge Yunfei, Diao Changyu, Li Min +3

The authenticity of calligraphy is significant but difficult task in the realm of art, where the key problem is the few-shot classification of calligraphy. We propose a novel metho…