DimensionX is an AI framework that generates photorealistic 3D and 4D scenes from a single image using video diffusion.

You might often face challenges generating 3D models from limited input, leading to time-consuming manual adjustments and unsatisfactory results. DimensionX overcomes this by leveraging controllable video diffusion.

This method decouples spatial and temporal factors by learning dimension-aware LoRAs, which allows you to generate 3D and 4D representations from sequential frames by combining spatial and temporal dimensions accurately.

DimensionX Playground

Features

Single Image to 3D/4D Scene: Transform a static image into dynamic 3D or 4D scenes.
Controllable Video Diffusion: Manipulate spatial structure and temporal dynamics with precision.
Dimension-Aware LoRAs: Decouples spatial and temporal factors for better control.
Trajectory-Aware Mechanism: Enhances 3D generation accuracy by aligning with real-world trajectories.
Identity-Preserving Denoising: Improves 4D generation by maintaining consistency across frames.
CogVideoX Integration: Uses the open-source CogVideoX for efficient video generation.
Hugging Face Space Access: Easily accessible through the Hugging Face platform.
Prompt-Based Control: Specify how the video should generate with simple prompts.
Orbit Type Customization: Choose between left or right orbit for the generated scene.
Photorealistic Output: Achieve high-quality, realistic 3D and 4D scenes.

Use Cases

Content Creation: Generate dynamic visuals for social media, websites, and marketing materials.
Architectural Visualization: Create 3D models from architectural plans or photos.
Game Development: Develop immersive environments and assets for video games.
Educational Content: Produce engaging visual aids for learning and teaching.
Virtual Reality (VR) Experiences: Develop 3D assets for VR applications.

Examples

Output

4D Scene Generation

How to Use It

Go to the DimensionX Hugging Face Space.
Upload an image or take a photo using the camera function.
Enter a prompt to guide the video generation process.
Select the orbit type (left or right) for the scene.
Click “Submit” to start the transformation process and view the generated 3D video.

Pros

Simplified 3D/4D Creation: Easily generate complex scenes from a single image.
High-Quality Visuals: Achieve photorealistic results with advanced video diffusion.
User-Friendly Interface: Accessible and straightforward to use on Hugging Face.
Precise Control: Manipulate both spatial and temporal elements with dimension-aware LoRAs.

Cons

Processing Time: Generating high-quality videos may take some time.
Dependence on Image Quality: Output quality relies heavily on the input image.
Learning Curve for Prompts: Users may need time to master effective prompt crafting for desired results.