5 papers
GSwap: Realistic Head Swapping with Dynamic Neural Gaussian Field
Jingtao Zhou, Xuan Gao, Dongyu Liu +3
We present GSwap, a novel consistent and realistic video head-swapping system empowered by dynamic neural Gaussian portrait priors, which significantly advances the state of the ar…
IM-Animation: An Implicit Motion Representation for Identity-decoupled Character Animation
Zhufeng Xu, Xuan Gao, Feng-Lin Liu +6
Recent progress in video diffusion models has markedly advanced character animation, which synthesizes motioned videos by animating a static identity image according to a driving v…
Controlling Avatar Diffusion with Learnable Gaussian Embedding
Xuan Gao, Jingtao Zhou, Dongyu Liu +2
Recent advances in diffusion models have made significant progress in digital human generation. However, most existing models still struggle to maintain 3D consistency, temporal co…
Attention Distillation: A Unified Approach to Visual Characteristics Transfer
Yang Zhou, Xu Gao, Zichong Chen +1
Recent advances in generative diffusion models have shown a notable inherent understanding of image style and semantics. In this paper, we leverage the self-attention features from…
Portrait Video Editing Empowered by Multimodal Generative Priors
Xuan Gao, Haiyao Xiao, Chenglai Zhong +3
We introduce PortraitGen, a powerful portrait video editing method that achieves consistent and expressive stylization with multimodal prompts. Traditional portrait video editing m…