What is 3DTrajMaster?
3DTrajMaster is a new AI tool that lets you control the movement of multiple characters or objects in 3D space within generated videos. It offers fine-grained control over trajectories, supports diverse entities and backgrounds, and integrates with text-to-video generation. Developed by KwaiVGI, 3DTrajMaster has received positive feedback from researchers for its ease of use and impressive results. Sources and related content
Key Features and Capabilities
Features
3DTrajMaster boasts an array of impressive features that set it apart in the video generation landscape:
- 6 Degrees of Freedom (DoF) Control: Users can manipulate both the position and orientation of entities in 3D space, providing complete control over their movement.
- Diverse Entity Support: From humans and animals to robots, cars, and even abstract elements like fire or breeze, 3DTrajMaster supports a wide range of entities.
- Varied Backgrounds: Generate videos with diverse backdrops, including cities, forests, deserts, beaches, and more.
- Complex 3D Trajectories: 3DTrajMaster can handle intricate movements, such as occlusions, rotations, and sharp turns, adding realism and complexity to generated videos.
- Fine-grained Entity Prompting: Users can refine the appearance of entities by specifying details like hair, clothing, gender, size, and accessories.
Capabilities
Beyond its core features, 3DTrajMaster offers a range of powerful capabilities:
- Multi-Entity Motion Control: Control the movement of multiple entities simultaneously, each following user-defined 3D trajectories.
- Integration with Text-to-Video (T2V) Generation: Seamlessly incorporate 3D trajectory control into text-based video generation workflows.
- Enhanced Realism: By leveraging 3D control signals, 3DTrajMaster generates videos with a heightened sense of realism compared to methods relying on 2D signals.
- Generalization Ability: 3DTrajMaster maintains a strong generalization ability, effectively handling various entities and scenarios.
How 3DTrajMaster Works
3DTrajMaster employs a two-phase training process. First, a domain adaptor mitigates the negative impact of training videos, ensuring high-quality output. Then, an object injector module integrates entity prompts and 3D trajectories, enabling precise control over entity movement. This innovative approach allows for the seamless fusion of text descriptions and 3D motion, resulting in dynamic and realistic video content.
Conclusion
3DTrajMaster represents a significant leap forward in video generation technology. Its ability to precisely control the 3D movement of multiple entities, coupled with its support for diverse entities, backgrounds, and complex trajectories, unlocks new possibilities for creating realistic and engaging videos. While information on pricing and licensing remains limited, the technology’s potential impact on video generation is undeniable. As 3DTrajMaster continues to evolve, it promises to reshape the way we create and experience video content.
