Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images

Stable Video 3D is a generative model that advances the field of 3D technology, delivering greatly improved quality and multi-view consistency. It can be used for commercial purposes with a Stability AI Membership and is available for non-commercial use on Hugging Face.
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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. 1

    Sign up for a Stability AI Membership for commercial use.

  2. 2

    Download the model weights on Hugging Face for non-commercial use.

  3. 3

    Use Stable Video 3D to generate multi-view videos of an object.

  4. 4

    Optimize 3D Neural Radiance Fields (NeRF) and mesh representations for improved 3D mesh quality.

Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images

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