activity
20232026
most citedEfficient Emotional Adaptation for Audio-Driven Talking-Head Generation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs

Wenlong Cheng, Yuan Gan, Yunqiu Xu +1

Training Latent Diffusion Models (LDMs) within Federated Learning (FL) has attracted increasing attention due to its ability to combine the powerful generative capacity of LDMs wit…

cs.CV2026

CapTalk: Text-Guided Stylization and Speech-Driven 3D Head Animation

Xuangeng Chu, Yuan Gan, Ziteng Cui +4

Audio-driven 3D facial animation aims to generate synchronized lip movements and vivid facial expressions from arbitrary audio clips. While existing methods can produce synchronize…

cs.CV2026

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…

cs.GR2025

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation

Yuan Gan, Jiaxu Miao, Yunze Wang +1

Advances in talking-head animation based on Latent Diffusion Models (LDM) enable the creation of highly realistic, synchronized videos. These fabricated videos are indistinguishabl…

cs.SD2023★ 1 cited

Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation

Yuan Gan, Zongxin Yang, Xihang Yue +2

Audio-driven talking-head synthesis is a popular research topic for virtual human-related applications. However, the inflexibility and inefficiency of existing methods, which neces…