Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
Product Information
Key Features of Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
Stable Video 3D provides major benefits in generalization and view-consistency of generated outputs, and can be used for commercial purposes with a Stability AI Membership.
Multi-View Consistency
Stable Video 3D generates multi-view videos of an object, allowing for the creation of 3D video along specified camera paths.
Video Diffusion Models
Stable Video 3D uses video diffusion models to generate multi-view videos of an object, providing major benefits in generalization and view-consistency of generated outputs.
3D Optimization
Stable Video 3D leverages its multi-view consistency to optimize 3D Neural Radiance Fields (NeRF) and mesh representations to improve the quality of 3D meshes generated directly from novel views.
Disentangled Illumination Model
Stable Video 3D employs a disentangled illumination model that is jointly optimized along with 3D shape and texture to reduce the issue of baked-in lighting.
Masked Score Distillation Sampling Loss
Stable Video 3D uses a masked score distillation sampling loss to further enhance 3D quality in regions not visible in the predicted views.
Use Cases of Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
Generate multi-view videos of an object for 3D modeling and animation.
Create 3D video along specified camera paths for virtual reality and augmented reality applications.
Optimize 3D Neural Radiance Fields (NeRF) and mesh representations for improved 3D mesh quality.
Use Stable Video 3D for commercial purposes with a Stability AI Membership.
Pros and Cons of Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
Pros
- Provides major benefits in generalization and view-consistency of generated outputs.
- Can be used for commercial purposes with a Stability AI Membership.
- Available for non-commercial use on Hugging Face.
- Leverages multi-view consistency to optimize 3D Neural Radiance Fields (NeRF) and mesh representations.
Cons
- May require a Stability AI Membership for commercial use.
- Limited to specific use cases and applications.
- May require additional training and optimization for specific use cases.
How to Use Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
- 1
Sign up for a Stability AI Membership for commercial use.
- 2
Download the model weights on Hugging Face for non-commercial use.
- 3
Use Stable Video 3D to generate multi-view videos of an object.
- 4
Optimize 3D Neural Radiance Fields (NeRF) and mesh representations for improved 3D mesh quality.







