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cs.CV2026

RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing

Tianyuan Qu, Lei Ke, Xiaohang Zhan +6

The paper presents RePlan, a framework that first reasons about natural‑language instructions to identify specific image regions and then edits those regions using a diffusion mode…

cs.CV2026

Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors

Hanxun Yu, Xuan Qu, Lei Ke +4

Despite advances in 3D scene understanding, existing 3D Large Multimodal Models operate in offline settings, requiring complete scene observations or predefined video clips. In thi…

cs.CV2026

Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Boqiang Zhang, Lei Ke, Ruihan Yang +5

Vision Language Model (VLM) development has largely relied on scaling model size, which hinders deployment on compute-constrained mobile and edge devices such as smartphones and ro…

cs.CV2025

N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language Models

Yuxin Wang, Lei Ke, Boqiang Zhang +6

While current multimodal models can answer questions based on 2D images, they lack intrinsic 3D object perception, limiting their ability to comprehend spatial relationships and de…

cs.CV2025

MotionEdit: Benchmarking and Learning Motion-Centric Image Editing

Yixin Wan, Lei Ke, Wenhao Yu +2

We introduce MotionEdit, a novel dataset for motion-centric image editing-the task of modifying subject actions and interactions while preserving identity, structure, and physical…