This AI Research from The University of Hong Kong and Alibaba Group Unveils ‘LivePhoto’: A Leap Forward in Text-Controlled Video Animation and Motion Intensity Customization

LivePhoto, developed by researchers at The University of Hong Kong, Alibaba Group, and Ant Group, is a practical system that enables users to animate images with customizable motion control and text descriptions. It overcomes limitations of existing image animation methods by leveraging text as a flexible control. The system’s potential across diverse applications and domains presents a promising avenue for future research.

 This AI Research from The University of Hong Kong and Alibaba Group Unveils ‘LivePhoto’: A Leap Forward in Text-Controlled Video Animation and Motion Intensity Customization

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LivePhoto: A Practical AI Solution for Text-Controlled Video Animation

Overview

The researchers from The University of Hong Kong, Alibaba Group, and Ant Group have developed LivePhoto to address the issue of temporal motions being overlooked in current text-to-video generation studies. LivePhoto enables users to animate images with text descriptions while reducing ambiguity in text-to-motion mapping.

Key Features

  • Enables users to animate images with text descriptions
  • Precise control over motion intensity
  • Highly flexible and customizable system
  • Utilizes motion module, motion intensity estimation module, and text re-weighting module for effective text-to-motion mapping
  • Decodes motion-related textual instructions into videos

Value Proposition

LivePhoto is a valuable contribution to text-driven image animation, offering a practical and flexible system for creating animated images with customizable motion control and text descriptions. Its widespread applications make it a useful tool for creating animated images based on text instructions.

Future Development

To enhance LivePhoto, exploring higher resolutions and robust models like SD-XL may significantly improve overall performance. Addressing the issue of motion speed and magnitude description in text can improve coherent alignment with motion. Utilizing super-resolution networks as post-processing may enhance video smoothness and resolution. Improving training data quality could enhance image consistency in generated videos. Future work could refine the training pipeline and optimize the motion intensity estimation module. Investigating LivePhoto’s potential across diverse applications and domains is a promising avenue for future research.

AI Implementation

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