Intel Labs, in collaboration with Blockade Labs, has introduced Latent Diffusion Model for 3D (LDM3D), a novel diffusion model that uses generative AI to create realistic 3D visual content. LDM3D is the industry’s first model to generate a depth map using the diffusion process to create 3D images with 360-degree views that are vivid and immersive. LDM3D has the potential to revolutionize content creation, metaverse applications and digital experiences, transforming a wide range of industries, from entertainment and gaming to architecture and design.
“Generative AI technology aims to further augment and enhance human creativity and save time. However, most of today’s generative AI models are limited to generating 2D images and only very few can generate 3D images from text prompts,” says Vasudev Lal, AI/ML research scientist, Intel Labs. “Unlike existing latent stable diffusion models, LDM3D allows users to generate an image and a depth map from a given text prompt using almost the same number of parameters. It provides more accurate relative depth for each pixel in an image compared to standard post-processing methods for depth estimation and saves developers significant time to develop scenes.”
Closed ecosystems limit scale. To address this, Intel is committed to true democratization of AI that will enable broader access to the benefits of AI through an open ecosystem. One area that’s seen significant advancements in recent years is in the field of computer vision, particularly in generative AI. However, many of today’s advanced generative AI models are limited to generating only 2D images. Unlike existing diffusion models, which generally only generate 2D RGB images from text prompts, LDM3D allows users to generate both an image and a depth map from a given text prompt. Using almost the same number of parameters as latent stable diffusion, LDM3D provides more accurate relative depth for each pixel in an image compared to standard post-processing methods for depth estimation.
This research could revolutionize how we interact with digital content by enabling users to experience their text prompts in previously inconceivable ways. The images and depth maps generated by LDM3D enable users to turn the text description of a serene tropical beach, a modern skyscraper or a sci-fi universe into a 360-degree detailed panorama. This ability to capture depth information can instantly enhance overall realism and immersion, enabling innovative applications for industries ranging from entertainment and gaming to interior design and real estate listings, as well as virtual museums and immersive virtual reality (VR) experiences.
To demonstrate the potential of LDM3D, Intel and Blockade researchers developed DepthFusion, an application that leverages standard 2D RGB photos and depth maps to create immersive and interactive 360-degree view experiences. DepthFusion utilizes TouchDesigner, a node-based visual programming language for real-time interactive multimedia content, to turn text prompts into interactive and immersive digital experiences. The LDM3D model is a single model to create both an RGB image and its depth map, leading to savings on memory footprint and latency improvements.