5 citations · 11 across the 20 of their papers we have counts for
7 papers · 1 filter
MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation
Muyu Xu, Fangneng Zhan, Xiaoqin Zhang +2
Sparse-view 3D Gaussian splatting seeks to render high-quality novel views of 3D scenes from a limited set of input images. While recent pose-free feed-forward methods leveraging p…
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models
Duo Li, Zuhao Yang, Xiaoqin Zhang +2
Discrete diffusion-based multimodal large language models (dMLLMs) have emerged as a promising alternative to autoregressive MLLMs thanks to their advantages in parallel decoding a…
Spatial Preference Rewarding for MLLMs Spatial Understanding
Han Qiu, Peng Gao, Lewei Lu +3
Multimodal large language models~(MLLMs) have demonstrated promising spatial understanding capabilities, such as referencing and grounding object descriptions. Despite their succes…
PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations
Yu Wei, Jiahui Zhang, Xiaoqin Zhang +2
COLMAP-free 3D Gaussian Splatting (3D-GS) has recently attracted increasing attention due to its remarkable performance in reconstructing high-quality 3D scenes from unposed images…
ToDRE: Effective Visual Token Pruning via Token Diversity and Task Relevance
Duo Li, Zuhao Yang, Xiaoqin Zhang +2
Visual token pruning, which aims to compress and prune redundant visual tokens, plays a critical role in efficient inference with large vision-language models (LVLMs). However, exi…
SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting
Jiahui Zhang, Fangneng Zhan, Ling Shao +1
Anchor-based 3D Gaussian splatting (3D-GS) exploits anchor features in 3D Gaussian prediction, which has achieved impressive 3D rendering quality with reduced Gaussian redundancy.…
Exploring 3D Reasoning-Driven Planning: From Implicit Human Intentions to Route-Aware Activity Planning
Xueying Jiang, Wenhao Li, Xiaoqin Zhang +2
3D task planning has attracted increasing attention in human-robot interaction and embodied AI thanks to the recent advances in multimodal learning. However, most existing studies…