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20232026
most citedAnimate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

9 citations · 14 across the 14 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

Knot Forcing: Taming Autoregressive Video Diffusion Models for Real-time Infinite Interactive Portrait Animation

Steven Xiao, Xindi Zhang, Dechao Meng +3

Real-time portrait animation is essential for interactive applications such as virtual assistants and live avatars, requiring high visual fidelity, temporal coherence, ultra-low la…

cs.CV2025

SyncAnyone: Implicit Disentanglement via Progressive Self-Correction for Lip-Syncing in the wild

Xindi Zhang, Dechao Meng, Steven Xiao +3

High-quality AI-powered video dubbing demands precise audio-lip synchronization, high-fidelity visual generation, and faithful preservation of identity and background. Most existin…

cs.CV2025

MirrorMe: Towards Realtime and High Fidelity Audio-Driven Halfbody Animation

Dechao Meng, Steven Xiao, Xindi Zhang +5

Audio-driven portrait animation, which synthesizes realistic videos from reference images using audio signals, faces significant challenges in real-time generation of high-fidelity…

cs.CV2025

Controllable and Expressive One-Shot Video Head Swapping

Chaonan Ji, Jinwei Qi, Peng Zhang +2

In this paper, we propose a novel diffusion-based multi-condition controllable framework for video head swapping, which seamlessly transplant a human head from a static image into…

cs.CV2025

Exploring Timeline Control for Facial Motion Generation

Yifeng Ma, Jinwei Qi, Chaonan Ji +4

This paper introduces a new control signal for facial motion generation: timeline control. Compared to audio and text signals, timelines provide more fine-grained control, such as…

cs.CV2025

OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking

Zhongjian Wang, Peng Zhang, Jinwei Qi +5

Although significant progress has been made in audio-driven talking head generation, text-driven methods remain underexplored. In this work, we present OmniTalker, a unified framew…

cs.CV2025

ChatAnyone: Stylized Real-time Portrait Video Generation with Hierarchical Motion Diffusion Model

Jinwei Qi, Chaonan Ji, Sheng Xu +3

Real-time interactive video-chat portraits have been increasingly recognized as the future trend, particularly due to the remarkable progress made in text and voice chat technologi…

cs.CV2025

Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance

Li Hu, Guangyuan Wang, Zhen Shen +6

Recent character image animation methods based on diffusion models, such as Animate Anyone, have made significant progress in generating consistent and generalizable character anim…

cs.CV2025

EMO2: End-Effector Guided Audio-Driven Avatar Video Generation

Linrui Tian, Siqi Hu, Qi Wang +2

In this paper, we propose a novel audio-driven talking head method capable of simultaneously generating highly expressive facial expressions and hand gestures. Unlike existing meth…