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cs.CV2026

KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration

Ruicheng Zhang, Kaixi Cong, Jun Zhou +5

Aligning streaming autoregressive (AR) video generators with human preferences is challenging. Existing reinforcement learning methods predominantly rely on noise-based exploration…

cs.CV2026

SpatialForge: Bootstrapping 3D-Aware Spatial Reasoning from Open-World 2D Images

Zishan Liu, Ruoxi Zang, Yanglin Zhang +5

Recent advancements in Large Vision-Language Models (VLMs) have demonstrated exceptional semantic understanding, yet these models consistently struggle with spatial reasoning, ofte…

cs.CV2026

V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning

Zhiwei Ning, Xuanang Gao, Jiaxi Cao +6

Multimodal large language models (MLLMs) have achieved remarkable success in general perception, yet complex multi-step visual reasoning remains a persistent challenge. Although re…

cs.CV2026

Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models

Yicheng Ji, Zhizhou Zhong, Jun Zhang +7

Autoregressive (AR) video diffusion models adopt a streaming generation framework, enabling long-horizon video generation with real-time responsiveness, as exemplified by the Self…

cs.CV2026

Mixture of States: Routing Token-Level Dynamics for Multimodal Generation

Haozhe Liu, Ding Liu, Mingchen Zhuge +16

We introduce MoS (Mixture of States), a novel fusion paradigm for multimodal diffusion models that merges modalities using flexible, state-based interactions. The core of MoS is a…

cs.CV2025

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset

Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero +81

Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. To develop socially intelligent…