collaborators

6 papers

cs.CV2026

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World

Zhongqiang Song, Guanying Chen, Yuqi Zhang +6

This paper addresses the problem of monocular metric depth estimation in aerial UAV imagery. Although recent data-driven methods have achieved remarkable progress in ground-level s…

cs.CV2026

Smart-Insertion-V: Photorealistic Video Insertion via a Closed-Loop Feedback Dual-Stream Framework

Xiao Cao, Yansong Qu, Xiangzhen +7

Mask-free video object insertion has emerged as a challenging task, requiring harmonious integration of reference objects into source videos. However, existing methods struggle whe…

cs.CV2026

GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes

Beibei Lin, Xiao Cao, Jingyuan Guo +1

Existing 3DGS methods effectively render high-quality novel views in clear-day scenes. However, they struggle with night scenes, particularly in glow regions, due to the lack of st…

cs.CV2026

GeoQuery: Geometry-Query Diffusion for Sparse-View Reconstruction

Xiao Cao, Yuze Li, Youmin Zhang +4

3D Gaussian Splatting (3DGS) has emerged as a prominent paradigm for 3D reconstruction and novel view synthesis. However, it remains vulnerable to severe artifacts when trained und…

cs.CV2025

RobustSplat++: Decoupling Densification, Dynamics, and Illumination for In-the-Wild 3DGS

Chuanyu Fu, Guanying Chen, Yuqi Zhang +6

3D Gaussian Splatting (3DGS) has gained significant attention for its real-time, photo-realistic rendering in novel-view synthesis and 3D modeling. However, existing methods strugg…

cs.CV2025

RobustSplat: Decoupling Densification and Dynamics for Transient-Free 3DGS

Chuanyu Fu, Yuqi Zhang, Kunbin Yao +5

3D Gaussian Splatting (3DGS) has gained significant attention for its real-time, photo-realistic rendering in novel-view synthesis and 3D modeling. However, existing methods strugg…