2 citations · 3 across the 10 of their papers we have counts for
12 papers
Alignment Is All You Need For X-to-4D Generation
Qiaowei Miao, Kehan Li, Yawei Luo +1
Generative diffusion models excel at synthesizing high-quality images, videos, and 3D content under multimodal control. However, arbitrary user-defined modality-to-4D (X-to-4D) gen…
EAGLE-360: Embodied Active Global-to-Local Exploration in 360
Jingtao Xu, Zizhuo Lin, Jianwen Sun +2
While Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in standard visual understanding, adapting them for active visual search in 360 pa…
Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents
Xueqiao Zhang, Chao Zhang, Jingtao Xu +4
Role-playing agents (RPAs) have attracted growing interest for their ability to simulate immersive and interactive characters. However, existing approaches primarily focus on stati…
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework
Yifan Zhu, Chao Zhang, Xin Shi +3
Large Language Models (LLMs)-based Multi-Agent Systems (MAS) exhibit remarkable problem-solving and task planning capabilities across diverse domains due to their specialized agent…
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization
Chao Zhang, Xin Shi, Xueqiao Zhang +3
Recent advances in Emotional Support Conversation (ESC) have improved emotional support generation by fine-tuning Large Language Models (LLMs) via Supervised Fine-Tuning (SFT). How…
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design
Xueqiao Zhang, Chao Zhang, Jianwen Sun +3
Large Language Models (LLMs) have significantly advanced smart education in the Artificial General Intelligence (AGI) era. A promising application lies in the automatic generalizat…
Advances in 4D Generation: A Survey
Qiaowei Miao, Kehan Li, Jinsheng Quan +6
Generative artificial intelligence has recently progressed from static image and video synthesis to 3D content generation, culminating in the emergence of 4D generation-the task of…
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
Zhiyuan Min, Yawei Luo, Jianwen Sun +1
Generalizable 3D Gaussian splitting (3DGS) can reconstruct new scenes from sparse-view observations in a feed-forward inference manner, eliminating the need for scene-specific retr…
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
Qiaowei Miao, Yawei Luo, Yi Yang
While deep neural networks have made remarkable progress in various vision tasks, their performance typically deteriorates when tested in out-of-distribution (OOD) scenarios. Many…
MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
Shaojie Ma, Yawei Luo, Wei Yang +1
3D reconstruction and simulation, although interrelated, have distinct objectives: reconstruction requires a flexible 3D representation that can adapt to diverse scenes, while simu…
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting
Qiaowei Miao, JinSheng Quan, Kehan Li +1
Previous text-to-4D methods have leveraged multiple Score Distillation Sampling (SDS) techniques, combining motion priors from video-based diffusion models (DMs) with geometric pri…
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
Zhiyuan Min, Yawei Luo, Wei Yang +2
Generalizable NeRF can directly synthesize novel views across new scenes, eliminating the need for scene-specific retraining in vanilla NeRF. A critical enabling factor in these ap…