9 citations · 16 across the 10 of their papers we have counts for
11 papers
Wan-Animate-2: Pushing the Application Boundaries of Character Animation
Guangyuan Wang, Li Hu, Dechao Meng +11
Character image animation remains a foundational yet challenging task in computer vision. Existing approaches can be broadly categorized into three paradigms: methods based on expl…
Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation
Mingyang Huang, Peng Zhang, Li Hu +5
Generating long-duration, high-definition, and rhythmically synchronized dance videos directly from music remains a significant challenge, primarily due to the temporal constraints…
MultiAnimate: A Unified Framework for Controllable Multi-Character Animation
Zhongyi Zhang, Guangyuan Wang, Li Hu +6
Recent advances in generative models and technological innovations have significantly addressed the fundamental challenges of character image animation. However, existing approache…
WanToFight: Real-Time Generative Game Engine for Multi-Player Combat Interaction
Li Hu, Guangyuan Wang, Peng Zhang +1
We present WanToFight, a generative game engine that simulates real-time, two-player The King of Fighters '97 (KOF~'97) gameplay from keyboard input. Prior generative game engines…
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…
Recurrent Dynamic Embedding for Video Object Segmentation
Mingxing Li, Li Hu, Zhiwei Xiong +3
Space-time memory (STM) based video object segmentation (VOS) networks usually keep increasing memory bank every several frames, which shows excellent performance. However, 1) the…
Learning Position and Target Consistency for Memory-based Video Object Segmentation
Li Hu, Peng Zhang, Bang Zhang +3
This paper studies the problem of semi-supervised video object segmentation(VOS). Multiple works have shown that memory-based approaches can be effective for video object segmentat…