From the 1 of 6 linked papers with an AI index.
6 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
The paper introduces Wan-Dancer, a hierarchical framework that generates minute‑scale, high‑definition dance videos synchronized to music by separating global keyframe planning fro…
Ultra-High-Definition Image Quality Assessment via Graph Representation Learning
Shaode Yu, Enqi Chen, Ming Huang +4
Blind image quality assessment (BIQA) for ultrahighdefinition (UHD) images remains challenging because native-resolution inference is computationally expensive, whereas aggressive…
Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset
Senyan Xu, Zhijing Sun, Kean Liu +5
Event-based low-light image enhancement (LIE) methods mainly focus on incorporating high dynamic range (HDR) information from events while overlooking the essential global illumina…
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…