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20242026
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cs.CV2026

StreetForward: Perceiving Dynamic Street with Feedforward Causal Attention

Zhongrui Yu, Zhao Wang, Yijia Xie +4

Feedforward reconstruction is crucial for autonomous driving applications, where rapid scene reconstruction enables efficient utilization of large-scale driving datasets in closed-…

cs.CV2026

Mobile-GS: Real-time Gaussian Splatting for Mobile Devices

Xiaobiao Du, Yida Wang, Kun Zhan +1

3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-quality rendering across a wide range of applications.However, its high computational demands and lar…

cs.CV2025

HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity

Yida Wang, Xueyang Zhang, Kun Zhan +2

Neural surface reconstruction faces persistent challenges in reconciling geometric fidelity with photometric consistency under complex scene conditions. We present HiNeuS, a unifie…

cs.CV2025

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Anthony Chen, Wenzhao Zheng, Yida Wang +5

Recent advancements in world models have revolutionized dynamic environment simulation, allowing systems to foresee future states and assess potential actions. In autonomous drivin…

cs.CV2025

StyledStreets: Multi-style Street Simulator with Spatial and Temporal Consistency

Yuyin Chen, Yida Wang, Xueyang Zhang +4

Urban scene reconstruction requires modeling both static infrastructure and dynamic elements while supporting diverse environmental conditions. We present \textbf{StyledStreets}, a…

cs.CV2024

StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models

Yunzhi Yan, Zhen Xu, Haotong Lin +8

This paper aims to tackle the problem of photorealistic view synthesis from vehicle sensor data. Recent advancements in neural scene representation have achieved notable success in…