I2V3D
by City University of Hong Kong, Microsoft GenAII2V3D is an innovative image-to-video generation framework that converts static images into dynamic videos with precise animation control using 3D geometry guidance.
What is I2V3D?
I2V3D is an innovative image-to-video generation framework developed by City University of Hong Kong and Microsoft GenAI. It transforms static images into dynamic videos with precise control over animations and camera movements using 3D geometry guidance. The framework combines the precision of traditional computer graphics pipelines with the visual fidelity of generative AI models.
Key Features of I2V3D
- Static Image to Dynamic Video Conversion: Converts a single static image into a dynamic video with complex animations and camera movements.
- Precise 3D Control: Enables fine-grained control over animations, including object rotation, translation, scaling, and camera movements.
- Flexible Animation Starting Point: Allows users to define the starting frame of the animation and generate videos of arbitrary length.
- Complex Scene Editing: Users can add, duplicate, replace, or edit objects in 3D scenes to generate new video content.
Technical Principles of I2V3D
- 3D Geometry Reconstruction: Reconstructs the complete 3D scene geometry from a single image, including foreground objects and background.
- Two-Stage Video Generation Process:
- 3D-Guided Keyframe Generation: Uses a customized image diffusion model to generate high-quality keyframes based on rough rendering results.
- 3D-Guided Video Interpolation: Generates smooth, high-quality video frames between keyframes using bidirectional guidance.
- Depth Guidance and Feature Control: Uses depth maps and rendering features as control signals during video generation to ensure consistency with 3D rendering results.
- Extended Attention Mechanism: Enhances spatiotemporal consistency between frames during keyframe generation.
Application Scenarios of I2V3D
- Animation Production: Quickly converts static images into dynamic videos with complex 3D animations, suitable for short animations in advertising and gaming.
- Video Editing and Creation: Adds, replaces, or modifies objects in 3D scenes to generate creative video content, suitable for short videos and special effects previews.
- VR/AR Content Generation: Generates realistic 3D dynamic content for interactive demonstrations in virtual environments, enhancing immersion.
- Education and Training: Converts static educational illustrations into dynamic videos, helping students understand complex concepts more intuitively.
- Game Development: Quickly generates game cutscenes or virtual character animations, saving development time and cost.
Project Links
- Project Website: https://bestzzhang.github.io/I2V3D/
- arXiv Technical Paper: https://arxiv.org/pdf/2503.09733
Framework Features
Supported Tasks
Image-To-Video Conversion
3d Animation
Video Editing
Content Creation
Animation Production
Tags
Video Generation
3D Animation
AI Framework
Image-to-Video
Generative AI
Computer Graphics
Content Creation
Video Editing
Animation Production
3D Geometry
Getting Started
Screenshots & Images
Primary Screenshot
Additional Images
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