This repository is a curated list of research papers focused on controllable video generation, serving as a comprehensive resource for researchers and practitioners in the field. It categorizes papers by control type (e.g., character, pose, style, temporal) and provides links to their respective publications, enabling efficient discovery and study of advancements in AI-driven video synthesis.

How It Works

The repository functions as a structured index of academic papers. It organizes research by the specific control mechanisms employed in video generation, such as manipulating character identity, spatial attributes like pose, temporal dynamics, or stylistic elements. This categorization allows users to quickly navigate and find relevant work based on their specific research interests or desired video generation controls.

Quick Start & Requirements

This is a curated list of papers and does not involve code execution.

Highlighted Details

• Extensive categorization of controllable video generation techniques.
• Includes papers from major conferences and journals (CVPR, ICCV, ECCV, SIGGRAPH, etc.).
• Regularly updated with recent research in the field.
• Facilitates paper discovery via content catalog and author search.

Maintenance & Community

The project is maintained by mayuelala and welcomes community contributions via the issue section for additions and updates.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific software license. The linked papers are subject to their own respective licenses and publication terms.

Limitations & Caveats

This repository is a collection of research papers and does not provide implementations or code for the described methods. Users must refer to the original papers for implementation details and requirements.