1 citations · 2 across the 9 of their papers we have counts for
10 papers
Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering
Weiquan Wang, Feifei Shao, Lin Li +4
High-fidelity rendering of dynamic humans from monocular videos typically degrades catastrophically under occlusions. Existing solutions incorporate external priors-either hallucin…
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…
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…
Physically Plausible Human-Object Rendering from Sparse Views via 3D Gaussian Splatting
Weiquan Wang, Jun Xiao, Yi Yang +2
Rendering realistic human-object interactions (HOIs) from sparse-view inputs is a challenging yet crucial task for various real-world applications. Existing methods often struggle…
Event-Customized Image Generation
Zhen Wang, Yilei Jiang, Dong Zheng +2
Customized Image Generation, generating customized images with user-specified concepts, has raised significant attention due to its creativity and novelty. With impressive progress…
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
Lin Li, Guikun Chen, Hanrong Shi +2
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial advancements in artificial intelligence, significantly enhancing the capability to understan…
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation
Hanrong Shi, Lin Li, Jun Xiao +2
Panoptic Scene Graph Generation (PSG) aims to generate a comprehensive graph-structure representation based on panoptic segmentation masks. Despite remarkable progress in PSG, almo…
: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
Weiquan Wang, Jun Xiao, Chunping Wang +3
Continuous diffusion models have demonstrated their effectiveness in addressing the inherent uncertainty and indeterminacy in monocular 3D human pose estimation (HPE). Despite thei…
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…
Seeing Beyond Classes: Zero-Shot Grounded Situation Recognition via Language Explainer
Jiaming Lei, Lin Li, Chunping Wang +2
Benefiting from strong generalization ability, pre-trained vision language models (VLMs), e.g., CLIP, have been widely utilized in zero-shot scene understanding. Unlike simple reco…