5 papers
V-Reflection: Transforming MLLMs from Passive Observers to Active Interrogators
Jiazhou Zhou, Yucheng Chen, Hongyang Li +4
Multimodal Large Language Models (MLLMs) have achieved remarkable success, yet they remain prone to perception-related hallucinations in fine-grained tasks. This vulnerability aris…
SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images
Jinyuan Qu, Hongyang Li, Lei Zhang
3D instance segmentation methods typically rely on high-quality point clouds or posed RGB-D scans, requiring complex multi-stage processing pipelines, and are highly sensitive to r…
OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
Hongyang Li, Jinyuan Qu, Lei Zhang
In this paper, we propose a training scheme called OVSeg3R to learn open-vocabulary 3D instance segmentation from well-studied 2D perception models with the aid of 3D reconstructio…
SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model
Yukai Shi, Weiyu Li, Zihao Wang +4
We propose a decoupled 3D scene generation framework called SceneMaker in this work. Due to the lack of sufficient open-set de-occlusion and pose estimation priors, existing method…
Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians
Jiamin Wu, Hongyang Li, Xiaoke Jiang +2
In this work, we introduce Coca-Splat, a novel approach to addressing the challenges of sparse view pose-free scene reconstruction and novel view synthesis (NVS) by jointly optimiz…