| | Stable Virtual Camera, currently in research preview. This multi-view diffusion model transforms 2D images into immersive 3D videos with realistic depth and perspective—without complex reconstruction or scene-specific optimization. We invite the research community to explore its capabilities and contribute to its development. 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. Unlike traditional 3D video models that rely on large sets of input images or complex preprocessing, Stable Virtual Camera generates novel views of a scene from one or more input images at user specified camera angles. The model produces consistent and smooth 3D video outputs, delivering seamless trajectory videos across dynamic camera paths. The model is available for research use under a Non-Commercial License. You can read the paper here, download the weights on Hugging Face, and access the code on GitHub. https://github.com/Stability-AI/stable-virtual-camera submitted by /u/fruesome |
We've pushed an LTX-2.3 update today. The Distilled model has been retrained (now v1.1) with…
The open-weights model ecosystem shifted recently with the release of the
Language models (LMs), at their core, are text-in and text-out systems.
This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation…
Building effective reward functions can help you customize Amazon Nova models to your specific needs,…
At Google Cloud, we often see customers asking themselves: "How can we manage our generative…