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cs.CV2026

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails

Mingyang Song, Luxin Xu, Haoyu Sun +3

Image guardrails are typically trained and evaluated under a fixed safety policy, implicitly treating safety as an intrinsic property of an image. Real deployments are different: t…

cs.CV2026

3D-CoS: A New 3D Reconstruction Paradigm Based on VLM Code Synthesis

Yuhao Wang, Puyi Wang, Linjie Li +3

Most recent 3D reconstruction and editing systems operate on implicit and explicit representations such as NeRF, point clouds, or meshes. While these representations enable high-fi…

cs.CV2026

ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning

Jiawei Gu, Yunzhuo Hao, Huichen Will Wang +5

Multimodal reasoning requires iterative coordination between language and vision, yet it remains unclear what constitutes a meaningful interleaved chain of thought. We posit that t…

cs.CV2025

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Zhaochen Su, Linjie Li, Mingyang Song +8

While humans can flexibly leverage interactive visual cognition for complex problem-solving, enabling Large Vision-Language Models (LVLMs) to learn similarly adaptive behaviors wit…

cs.CV2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

Zhaochen Su, Peng Xia, Hangyu Guo +12

Recent progress in multimodal reasoning has been significantly advanced by textual Chain-of-Thought (CoT), a paradigm where models conduct reasoning within language. This text-cent…

cs.CV2025

ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning

Jiaqi Liao, Zhengyuan Yang, Linjie Li +4

In this work, we study the problem of Text-to-Image In-Context Learning (T2I-ICL). While Unified Multimodal LLMs (MLLMs) have advanced rapidly in recent years, they struggle with c…