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20232026
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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2023

FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding

Jun Xiang, Xuan Gao, Yudong Guo +1

We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and ren…

cs.CV2023

CosAvatar: Consistent and Animatable Portrait Video Tuning with Text Prompt

Haiyao Xiao, Chenglai Zhong, Xuan Gao +2

Recently, text-guided digital portrait editing has attracted more and more attentions. However, existing methods still struggle to maintain consistency across time, expression, and…