activity
20242026
collaborators

16 papers

cs.CV2026

3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image

Ze-Xin Yin, Liu Liu, Xinjie Wang +4

Compositional 3D scene generation from a single view requires the simultaneous recovery of scene layout and 3D assets. Existing approaches mainly fall into two categories: feed-for…

cs.CV2025

RecurGS: Interactive Scene Modeling via Discrete-State Recurrent Gaussian Fusion

Wenhao Hu, Haonan Zhou, Zesheng Li +4

Recent advances in 3D scene representations have enabled high-fidelity novel view synthesis, yet adapting to discrete scene changes and constructing interactive 3D environments rem…

cs.RO2025

FSR-VLN: Fast and Slow Reasoning for Vision-Language Navigation with Hierarchical Multi-modal Scene Graph

Xiaolin Zhou, Tingyang Xiao, Liu Liu +7

Visual-Language Navigation (VLN) is a fundamental challenge in robotic systems, with broad applications for the deployment of embodied agents in real-world environments. Despite re…

cs.CV2025

DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation

Ze-Xin Yin, Jiaxiong Qiu, Liu Liu +5

The labor- and experience-intensive creation of 3D assets with physically based rendering (PBR) materials demands an autonomous 3D asset creation pipeline. However, most existing 3…

cs.CV2025

IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion

Wenhao Hu, Zesheng Li, Haonan Zhou +5

Reconstructing complete and interactive 3D scenes remains a fundamental challenge in computer vision and robotics, particularly due to persistent object occlusions and limited sens…

cs.CV2025

Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images

Xiangyu Sun, Haoyi Jiang, Liu Liu +8

Reconstructing and semantically interpreting 3D scenes from sparse 2D views remains a fundamental challenge in computer vision. Conventional methods often decouple semantic underst…