Loading video...
Video Failed to Load
Introducing Stable Virtual Camera: This multi-view diffusion model transforms 2D images into immersive 3D videos with realistic depth and perspective—without complex reconstruction or scene-specific optimization.
197,203 views • 1 year ago •via X (Twitter)
11 Comments

A virtual camera is a digital tool used in filmmaking and 3D animation to capture and navigate digital scenes in real-time. Stable Virtual Camera builds upon this concept, combining the familiar control of traditional virtual cameras with the power of generative AI to offer precise, intuitive control over 3D video outputs.

Key Capabilities: ✅ Dynamic Camera Control: Supports custom & preset paths (360°, Lemniscate, Dolly Zoom, Spiral, Pan, Move & more). ✅ Flexible Inputs: Generates 3D videos from just one input image or up to 32. ✅ Multiple Aspect Ratios: Produces square, portrait, landscape & custom aspect ratios, with no additional training required. ✅ Long Video Generation: Maintains 3D consistency for up to 1,000 frames.

Stable Virtual Camera achieves state-of-the-art results in novel view synthesis (NVS) benchmarks, outperforming models like ViewCrafter and CAT3D. It excels in both large-viewpoint NVS, which emphasizes generation capacity, and small-viewpoint NVS, which prioritizes temporal smoothness.

Currently in research preview, the model is available for use under a Non-Commercial License. You can read the paper, download the weights on @HuggingFace, and access the code on @GitHub now. Learn more here:

Get ready for a full-body VR workout that’s fun, fast, and intuitive — Play PowerBeatsVR (Now on Meta Quest) 🔥

Could you use this as synthetic photogrammetry to generate a 3d object and export it as an FBX.

Nice

👀

It understood and recreated the reflection in the mirror? That’s amazing!

Thats a lame video for such a nice product.

Wow, a Stable Virtual Camera? Talk about taking 2D to 3D in style! PublicAI is all about transforming data too—let's make those pixels dance! 🎥✨
