8 citations · 14 across the 9 of their papers we have counts for
9 papers
Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
Feier Qin, Xiao Li, Yi Zheng +5
Recent advances in foundation models have enabled conversational agents that aim for sustained companionship rather than mere task completion. Yet most still remain unable to suppo…
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
Yuxin Zhang, Minyan Luo, Weiming Dong +6
The stories and characters that captivate us as we grow up shape unique fantasy worlds, with images serving as the primary medium for visually experiencing these realms. Personaliz…
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Xun Guo, Shan Zhang, Yongxin He +4
Current techniques for detecting AI-generated text are largely confined to manual feature crafting and supervised binary classification paradigms. These methodologies typically lea…
Towards Unified 3D Hair Reconstruction from Single-View Portraits
Yujian Zheng, Yuda Qiu, Leyang Jin +5
Single-view 3D hair reconstruction is challenging, due to the wide range of shape variations among diverse hairstyles. Current state-of-the-art methods are specialized in recoverin…
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Chi Wang, Junming Huang, Rong Zhang +5
Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…
InterFusion: Text-Driven Generation of 3D Human-Object Interaction
Sisi Dai, Wenhao Li, Haowen Sun +5
In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two k…
VRMM: A Volumetric Relightable Morphable Head Model
Haotian Yang, Mingwu Zheng, Chongyang Ma +3
In this paper, we introduce the Volumetric Relightable Morphable Model (VRMM), a novel volumetric and parametric facial prior for 3D face modeling. While recent volumetric prior mo…
Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation
Yi Zheng, Chongyang Ma, Kanle Shi +1
In this study, we introduce the concept of OKR-Agent designed to enhance the capabilities of Large Language Models (LLMs) in task-solving. Our approach utilizes both self-collabora…
Towards Practical Capture of High-Fidelity Relightable Avatars
Haotian Yang, Mingwu Zheng, Wanquan Feng +5
In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar), for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods, T…