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cs.CV2026

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving

Xiaoyu Ye, Leheng Li, Xinyu Ji +8

Generating realistic, controllable, and temporally coherent urban environments is a critical yet unresolved challenge in the autonomous driving community. In this paper, we introdu…

cs.CV2026

S-VAM: Shortcut Video-Action Model by Self-Distilling Geometric and Semantic Foresight

Haodong Yan, Zhide Zhong, Jiaguan Zhu +10

Video action models (VAMs) have emerged as a promising paradigm for robot learning, owing to their powerful visual foresight for complex manipulation tasks. However, current VAMs,…

cs.CV2026

BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

Tongyan Hua, Haoran Gong, Yuan Liu +3

We introduce BuildAnyPoint, a novel generative framework for structured 3D building reconstruction from point clouds with diverse distributions, such as those captured by airborne…

cs.CV2026

SPOT-Occ: Sparse Prototype-guided Transformer for Camera-based 3D Occupancy Prediction

Suzeyu Chen, Leheng Li, Ying-Cong Chen

Achieving highly accurate and real-time 3D occupancy prediction from cameras is a critical requirement for the safe and practical deployment of autonomous vehicles. While this shif…

cs.CV2026

FlexAM: Flexible Appearance-Motion Decomposition for Versatile Video Generation Control

Mingzhi Sheng, Zekai Gu, Peng Li +4

Effective and generalizable control in video generation remains a significant challenge. While many methods rely on ambiguous or task-specific signals, we argue that a fundamental…

cs.CV2026

ReLE: A Scalable System and Structured Benchmark for Diagnosing Capability Anisotropy in Chinese LLMs

Rui Fang, Jian Li, Wei Chen +4

Large Language Models (LLMs) have achieved rapid progress in Chinese language understanding, yet accurately evaluating their capabilities remains challenged by benchmark saturation…