MotionPro
| Property | Value |
|---|---|
| Author | HiDream-ai |
| Paper | CVPR 2025 |
| Model Type | Image-to-Video Generation |
| Repository | Available on GitHub and Hugging Face |
What is MotionPro?
MotionPro is an innovative image-to-video generation model built on SVD technology, designed to provide precise control over both object and camera motion. The model learns from in-the-wild video datasets like WebVid-10M, offering an intuitive brush-and-drag interface for motion control.
Implementation Details
The model architecture is optimized for memory efficiency, allowing SVD fine-tuning with a batch size of 8 on NVIDIA A100 GPUs. It includes two variants: the standard MotionPro for object and camera control, and MotionPro-Dense for synchronized video generation.
- Built on PyTorch Lightning framework
- Supports both folder-based and tar-file (WebDataset) data loading
- Includes MC-Bench with 1.1K user-annotated image-trajectory pairs
- Memory-optimized training pipeline
Core Capabilities
- User-friendly motion control through brushing and dragging interface
- Simultaneous object and camera motion control
- Precise camera control without specific camera-pose paired training data
- Synchronized video generation with MotionPro-Dense integration
- Support for comprehensive evaluation through MC-Bench
Frequently Asked Questions
Q: What makes this model unique?
MotionPro stands out for its ability to simultaneously control both object and camera motion through an intuitive interface, without requiring specialized training data for camera control. It also offers synchronized video generation capabilities through its Dense variant.
Q: What are the recommended use cases?
The model is ideal for creative professionals and researchers who need to generate videos from static images with precise motion control. It's particularly useful for content creation, animation, and research applications requiring controlled video generation from still images.
