MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis
Di Qiu, Zheng Chen, Rui Wang, Mingyuan Fan, Changqian Yu, Junshi, Huang, Xiang Wen

TL;DR
MovieCharacter introduces a tuning-free, modular framework for high-quality, real-time character video synthesis that simplifies the process by leveraging existing models and techniques.
Contribution
It presents a novel, tuning-free framework that decomposes character video synthesis into manageable modules, enhancing accessibility and efficiency.
Findings
Achieves high-quality synthesis without extensive fine-tuning.
Enhances efficiency and accessibility of character video creation.
Supports flexible customization through modular design.
Abstract
Recent advancements in character video synthesis still depend on extensive fine-tuning or complex 3D modeling processes, which can restrict accessibility and hinder real-time applicability. To address these challenges, we propose a simple yet effective tuning-free framework for character video synthesis, named MovieCharacter, designed to streamline the synthesis process while ensuring high-quality outcomes. Our framework decomposes the synthesis task into distinct, manageable modules: character segmentation and tracking, video object removal, character motion imitation, and video composition. This modular design not only facilitates flexible customization but also ensures that each component operates collaboratively to effectively meet user needs. By leveraging existing open-source models and integrating well-established techniques, MovieCharacter achieves impressive synthesis results…
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Taxonomy
TopicsGenerative Adversarial Networks and Image Synthesis · Human Motion and Animation · Video Analysis and Summarization
