6 papers · 1 filter
Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action Models
Yijie Zhu, Zitong Yu, Wei Li +4
World Action Models (WAMs) extend Vision-Language-Action (VLA) models by incorporating future visual dynamics into action generation. However, existing WAMs often utilize imagined…
MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation
Zhihan Chen, Yuhuan Zhao, Yijie Zhu +7
Multi-subject personalized image generation requires the precise rendering of all requested reference identities and their specified interactions based on a guiding prompt. However…
AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition
Zeheng Wang, Zitong Yu, Yijie Zhu +9
LLM-based multimodal emotion recognition relies on static parametric memory and often hallucinates when interpreting nuanced affective states. In this paper, given that single-roun…
When Identities Collapse: A Stress-Test Benchmark for Multi-Subject Personalization
Zhihan Chen, Yuhuan Zhao, Yijie Zhu +1
Subject-driven text-to-image diffusion models have achieved remarkable success in preserving single identities, yet their ability to compose multiple interacting subjects remains l…
VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation
Yijie Zhu, Jie He, Rui Shao +4
Recent vision-language-action (VLA) models have significantly advanced robotic manipulation by unifying perception, reasoning, and control. To achieve such integration, recent stud…
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Yijie Zhu, Lingsen Zhang, Zitong Yu +3
Emotional understanding and generation are often treated as separate tasks, yet they are inherently complementary and can mutually enhance each other. In this paper, we propose the…