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cs.CV2026

AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

Yu Li, Menghan Xia, Gongye Liu +8

Despite being a pivotal frontier, interactive world modeling remains underexplored in terms of the versatile controllability required by practical scenarios. To bridge this gap, we…

cs.CV2026

Video-Zero: Self-Evolution Video Understanding

Ruixu Zhang, Deyi Ji, Lanyun Zhu +4

Self-evolution offers a promising path for improving reasoning models without relying on intensive human annotation. However, extending this paradigm to video understanding remains…

cs.CV2026

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo, Chufan Shi, Yizhen Zhang +10

The cold-start initialization stage plays a pivotal role in training Multimodal Large Reasoning Models (MLRMs), yet its mechanisms remain insufficiently understood. To analyze this…

cs.CV2025

VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning

Yang Ding, Yizhen Zhang, Xin Lai +2

Multimodal Large Language Models (MLLMs) have achieved remarkable progress in vision-language tasks yet remain limited in long video understanding due to the limited context window…

cs.CV2025

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Ruihang Chu, Yefei He, Zhekai Chen +10

We present Wan-Move, a simple and scalable framework that brings motion control to video generative models. Existing motion-controllable methods typically suffer from coarse contro…

cs.CV2025

Nav- Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation

Wentao Xiang, Haokang Zhang, Tianhang Yang +10

Object-goal navigation in open-vocabulary settings requires agents to locate novel objects in unseen environments, yet existing approaches suffer from opaque decision-making proces…