9 citations · 14 across the 10 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
Ke Sun, Jian Cao, Qi Wang +8
Virtual Try-On (VTON) has become a transformative technology, empowering users to experiment with fashion without ever having to physically try on clothing. However, existing metho…
EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Linrui Tian, Qi Wang, Bang Zhang +1
In this work, we tackle the challenge of enhancing the realism and expressiveness in talking head video generation by focusing on the dynamic and nuanced relationship between audio…
DanceMeld: Unraveling Dance Phrases with Hierarchical Latent Codes for Music-to-Dance Synthesis
Xin Gao, Li Hu, Peng Zhang +2
In the realm of 3D digital human applications, music-to-dance presents a challenging task. Given the one-to-many relationship between music and dance, previous methods have been li…
VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior
Xusen Sun, Longhao Zhang, Hao Zhu +7
Audio-driven talking head generation has drawn much attention in recent years, and many efforts have been made in lip-sync, expressive facial expressions, natural head pose generat…
MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing
Kangneng Zhou, Daiheng Gao, Xuan Wang +9
3D-aware portrait editing has a wide range of applications in multiple fields. However, current approaches are limited due that they can only perform mask-guided or text-based edit…
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Li Hu, Xin Gao, Peng Zhang +3
Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation resea…
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
Lijun Li, Linrui Tian, Xindi Zhang +4
The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result i…