collaborators

9 papers

cs.CV2026

TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention

David Huang, Guile Wu, Chengjie Huang +2

Recent feed-forward 3D reconstruction methods, such as visual geometry transformers, have substantially advanced the traditional per-scene optimization paradigm by enabling effecti…

cs.CV2026

MoVieDrive: Urban Scene Synthesis with Multi-Modal Multi-View Video Diffusion Transformer

Guile Wu, David Huang, Dongfeng Bai +1

Urban scene synthesis with video generation models has recently shown great potential for autonomous driving. Existing video generation approaches to autonomous driving primarily f…

cs.CV2026

Spatial4D-Bench: A Versatile 4D Spatial Intelligence Benchmark

Pan Wang, Yang Liu, Guile Wu +23

4D spatial intelligence involves perceiving and processing how objects move or change over time. Humans naturally possess 4D spatial intelligence, supporting a broad spectrum of sp…

cs.CV2026

Language and Geometry Grounded Sparse Voxel Representations for Holistic Scene Understanding

Guile Wu, David Huang, Bingbing Liu +1

Existing 3D open-vocabulary scene understanding methods mostly emphasize distilling language features from 2D foundation models into 3D feature fields, but largely overlook the syn…

cs.CV2026

Nighttime Autonomous Driving Scene Reconstruction with Physically-Based Gaussian Splatting

Tae-Kyeong Kim, Xingxin Chen, Guile Wu +3

This paper focuses on scene reconstruction under nighttime conditions in autonomous driving simulation. Recent methods based on Neural Radiance Fields (NeRFs) and 3D Gaussian Splat…

cs.CV2026

ArmGS: Composite Gaussian Appearance Refinement for Modeling Dynamic Urban Environments

Guile Wu, Dongfeng Bai, Bingbing Liu

This work focuses on modeling dynamic urban environments for autonomous driving simulation. Contemporary data-driven methods using neural radiance fields have achieved photorealist…