4 papers
SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM
Jingxuan Su, Shenglin Wang, Tiesong Zhao +2
3D Gaussian Splatting (3DGS) has emerged as an effective representation for novel view synthesis and 3D scene reconstruction, creating an increasing demand for reliable quality ass…
GraspView: Active Perception Scoring and Best-View Optimization for Robotic Grasping in Cluttered Environments
Shenglin Wang, Mingtong Dai, Jingxuan Su +4
Robotic grasping is a fundamental capability for autonomous manipulation, yet remains highly challenging in cluttered environments where occlusion, poor perception quality, and inc…
GP-GS: Gaussian Processes Densification for 3D Gaussian Splatting
Zhihao Guo, Jingxuan Su, Chenghao Qian +8
3D Gaussian Splatting (3DGS) enables photorealistic rendering but suffers from artefacts due to sparse Structure-from-Motion (SfM) initialisation. To address this limitation, we pr…
MAP-based Problem-Agnostic diffusion model for Inverse Problems
Pingping Tao, Haixia Liu, Jing Su
Diffusion models have indeed shown great promise in solving inverse problems in image processing. In this paper, we propose a novel, problem-agnostic diffusion model called the max…