5 papers
FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration
Jin Jiang, Jia Wang, Panwen Hu +2
Video face restoration (VFR) aims to recover high-quality and temporally consistent facial details from severely degraded video sequences; however, existing methods still struggle…
DirectSwap: Mask-Free Cross-Identity Training and Benchmarking for Expression-Consistent Video Head Swapping
Yanan Wang, Shengcai Liao, Panwen Hu +3
Video head swapping aims to replace the entire head of a video subject, including facial identity, head shape, and hairstyle, with that of a reference image, while preserving the t…
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
Panwen Hu, Jin Jiang, Jianqi Chen +4
The advent of AI-Generated Content (AIGC) has spurred research into automated video generation to streamline conventional processes. However, automating storytelling video producti…
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models
Sanoojan Baliah, Qinliang Lin, Shengcai Liao +2
Despite promising progress in face swapping task, realistic swapped images remain elusive, often marred by artifacts, particularly in scenarios involving high pose variation, color…
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance
Guian Fang, Wenbiao Yan, Yuanfan Guo +5
Text-to-image diffusion models have significantly advanced in conditional image generation. However, these models usually struggle with accurately rendering images featuring humans…