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cs.CV2026

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG

Honghao Fu, Miao Xu, Yiwei Wang +3

Scaling multimodal large language models (MLLMs) to long videos is constrained by limited context windows. While retrieval-augmented generation (RAG) is a promising remedy by organ…

cs.CV2026

DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild

Honghao Fu, Yufei Wang, Wenhan Yang +2

Blind image quality assessment (IQA) in the wild, which assesses the quality of images with complex authentic distortions and no reference images, presents significant challenges.…

cs.CV2026

SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving

Honghao Fu, Yongli Gu, Yidong Yan +3

With the advancement of vision-based autonomous driving technology, pedestrian detection have become an important component for improving traffic safety and driving system robustne…

cs.CV2026

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

Yiying Yang, Wei Cheng, Sijin Chen +5

OmniLottie is a versatile framework that generates high quality vector animations from multi-modal instructions. For flexible motion and visual content control, we focus on Lottie,…

cs.CV2025

WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval

Junlong Ren, Gangjian Zhang, Honghao Fu +2

Text-Motion Retrieval (TMR) aims to retrieve 3D motion sequences semantically relevant to text descriptions. However, matching 3D motions with text remains highly challenging, prim…

cs.CV2025

Step1X-Edit: A Practical Framework for General Image Editing

Shiyu Liu, Yucheng Han, Peng Xing +21

In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal models such as GPT-4o and Gemini2 Flash has i…