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cs.CV2026

CP4D: Compositional Physics-aware 4D Scene Generation

Hanxin Zhu, Cong Wang, Tianyu He +4

4D generation (\textit{i.e.}, dynamic 3D generation) has recently emerged as a rapidly growing research frontier due to its powerful spatiotemporal modeling capabilities. However,…

cs.CV2026

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation

Jiayi Luo, Qiyan Liu, Tengyang Wang +8

Autoregressive (AR) video generation has emerged as a promising paradigm for long-horizon video synthesis, where each frame is generated conditioned on previously generated tokens.…

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.CV2026

Semantic Audio-Visual Navigation in Continuous Environments

Yichen Zeng, Hebaixu Wang, Meng Liu +4

Audio-visual navigation enables embodied agents to navigate toward sound-emitting targets by leveraging both auditory and visual cues. However, most existing approaches rely on pre…

cs.CV2026

WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models

Yu Shang, Zhuohang Li, Yiding Ma +18

While world models have emerged as a cornerstone of embodied intelligence by enabling agents to reason about environmental dynamics through action-conditioned prediction, their eva…

cs.CV2025

LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE

Yu Shang, Lei Jin, Yiding Ma +4

Video-based world models hold significant potential for generating high-quality embodied manipulation data. However, current video generation methods struggle to achieve stable lon…