Zero-1-to-3
Novel view synthesis from a single image using diffusion model conditioning.
About
Zero-1-to-3 from Columbia University synthesizes novel views of an object from a single image by conditioning a diffusion model on a relative camera viewpoint, enabling zero-shot 3D reconstruction from one 2D photo. The repository releases several checkpoints fine-tuned on Objaverse for different training lengths, trading zero-shot generalization against fit to training data. Released under the Apache 2.0 license.
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Details
- Category
- 3D Model Generation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Advanced (4/5)
- License
- Apache-2.0
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
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