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20232026
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9 papers · 1 filter

cs.CV2026

MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models

Yifan Xu, Chao Zhang, Ruifei Ma +4

The new era has witnessed a remarkable capability to extend Vision-Language Models (VLMs) for tackling tasks of video understanding. While current VLMs excel at event- or story-lev…

cs.CV2026

FlowScene: Style-Consistent Indoor Scene Generation with Multimodal Graph Rectified Flow

Zhifei Yang, Guangyao Zhai, Keyang Lu +6

Scene generation has extensive industrial applications, demanding both high realism and precise control over geometry and appearance. Language-driven retrieval methods compose plau…

cs.CV2025

Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion

Keyang Lu, Sifan Zhou, Hongbin Xu +6

Realistic 3D city generation is fundamental to a wide range of applications, including virtual reality and digital twins. However, most existing methods rely on training a single d…

cs.CV2025

Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models

Xiaoyan Wang, Zeju Li, Yifan Xu +5

New era has unlocked exciting possibilities for extending Large Language Models (LLMs) to tackle 3D vision-language tasks. However, most existing 3D multimodal LLMs (MLLMs) rely on…

cs.CV2025

VidText: Towards Comprehensive Evaluation for Video Text Understanding

Zhoufaran Yang, Yan Shu, Jing Wang +8

Visual texts embedded in videos carry rich semantic information, which is crucial for both holistic video understanding and fine-grained reasoning about local human actions. Howeve…

cs.CV2025

MaRI: Material Retrieval Integration across Domains

Jianhui Wang, Zhifei Yang, Yangfan He +3

Accurate material retrieval is critical for creating realistic 3D assets. Existing methods rely on datasets that capture shape-invariant and lighting-varied representations of mate…

cs.CV2025

Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration

Jiawei Wu, Zhifei Yang, Zhe Wang +1

All-in-one image restoration (AIR) aims to address diverse degradations within a unified model by leveraging informative degradation conditions to guide the restoration process. Ho…

cs.CV2025

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation

Zhifei Yang, Keyang Lu, Chao Zhang +9

Controllable 3D scene generation has extensive applications in virtual reality and interior design, where the generated scenes should exhibit high levels of realism and controllabi…

cs.CV2023

Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval

Han Fang, Zhifei Yang, Xianghao Zang +2

Recently, masked video modeling has been widely explored and significantly improved the model's understanding ability of visual regions at a local level. However, existing methods…