activity
20232026
most citedFreeTuner: Any Subject in Any Style with Training-free Diffusion

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization

Binhe Yu, Zhen Wang, Kexin Li +6

Multi-subject customization aims to synthesize multiple user-specified subjects into a coherent image. To address issues such as subjects missing or conflicts, recent works incorpo…

cs.CV2025

CoMo: Compositional Motion Customization for Text-to-Video Generation

Youcan Xu, Zhen Wang, Jiaxin Shi +6

While recent text-to-video models excel at generating diverse scenes, they struggle with precise motion control, particularly for complex, multi-subject motions. Although methods f…

cs.CV2025

Zero-shot Compositional Action Recognition with Neural Logic Constraints

Gefan Ye, Lin Li, Kexin Li +2

Zero-shot compositional action recognition (ZS-CAR) aims to identify unseen verb-object compositions in the videos by exploiting the learned knowledge of verb and object primitives…

cs.CV2024

Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation

Kexin Li, Zongxin Yang, Yi Yang +1

Audio-visual video segmentation (AVVS) aims to generate pixel-level maps of sound-producing objects that accurately align with the corresponding audio. However, existing methods of…

cs.CV2024★ 1 cited

FreeTuner: Any Subject in Any Style with Training-free Diffusion

Youcan Xu, Zhen Wang, Jun Xiao +2

With the advance of diffusion models, various personalized image generation methods have been proposed. However, almost all existing work only focuses on either subject-driven or s…

cs.CV2024

IDPro: Flexible Interactive Video Object Segmentation by ID-queried Concurrent Propagation

Kexin Li, Tao Jiang, Zongxin Yang +3

Interactive Video Object Segmentation (iVOS) is a challenging task that requires real-time human-computer interaction. To improve the user experience, it is important to consider t…

cs.CV2023

CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation

Kexin Li, Zongxin Yang, Lei Chen +2

Audio-visual video segmentation~(AVVS) aims to generate pixel-level maps of sound-producing objects within image frames and ensure the maps faithfully adhere to the given audio, su…