9 citations · 9 across the 5 of their papers we have counts for
6 papers
MemCam: Memory-Augmented Camera Control for Consistent Video Generation
Xinhang Gao, Junlin Guan, Shuhan Luo +3
Interactive video generation has significant potential for scene simulation and video creation. However, existing methods often struggle with maintaining scene consistency during l…
Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
Gang Cheng, Xin Gao, Li Hu +23
We introduce Wan-Animate, a unified framework for character animation and replacement. Given a character image and a reference video, Wan-Animate can animate the character by preci…
Wan-S2V: Audio-Driven Cinematic Video Generation
Xin Gao, Li Hu, Siqi Hu +20
Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they o…
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…
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…
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…