In the field of generative AI, computer vision has made great strides in recent years. Stable Diffusion has transformed content production into image generation by offering free software to produce high-fidelity RGB random images from text prompts. This research suggests a latent diffusion model for 3D (LDM3D) based on Stable Diffusion v1.4. Unlike the previous model, Figure 1 illustrates how LDM3D can produce depth maps and image data from a given text message. Users can create full RGBD representations of text prompts, bringing them to life in vibrant and captivating 360° perspectives. On a data set of about 4 million tuples that included an RGB image, depth map, and description, his LDM3D model was refined.
To create this dataset, a portion of the LAION-400M dataset, a large image caption dataset with over 400 million image caption pairings, was used. The DPT-Large depth estimation model, which provides extremely accurate relative depth estimates for each pixel in an image, was used to create the depth maps used for fine tuning. Using the right depth maps was essential to creating 360° views that were realistic and immersive, allowing users to experience their text prompts in great detail. Researchers at Intel Labs and Blockade Labs build on LDM3D to develop DepthFusion, an application that takes advantage of 2D RGB photos and depth maps initiated to compute a 360° projection using TouchDesigner, demonstrating the capabilities of LDM3D.
DepthFusion has the power to completely change the way people interact with digital material. A flexible framework called TouchDesigner makes it possible to create interactive and immersive multimedia experiences. His program uses the creative potential of touchdesigner to produce captivating 360° panoramas that vividly represent text prompts. With the help of DepthFusion, users can now experience their text prompts in a way that was previously unconceivable, whether it be a description of a serene forest, a bustling cityscape, or a sci-fi universe. This technology can potentially revolutionize various industries, including gaming, entertainment, design, and architecture.
They have made three different contributions overall. (1) They suggest LDM3D, a novel diffusion model that, upon a text prompt, generates RGBD images (RGB images with matching depth maps). (2) They built DepthFusion, a program that uses RGBD photos produced by LDM3D to provide immersive 360° viewing experiences. (3) Evaluate the effectiveness of produced RGBD photos and 360 view immersive movies through comprehensive studies. The studio presents LDM3D, a state-of-the-art diffusion model that produces RGBD images from text signals. They also created DepthFusion, a program that uses the RGBD images produced by TouchDesigner to provide immersive and interactive 360 viewing experiences to further illustrate the possibilities of LDM3D.
The findings of this study could fundamentally alter the way people interact with digital material, transforming everything from entertainment and gaming to architecture and design. The contributions of this work open up new opportunities for research into computer vision and multivision generative AI. They are interested in how this area will be further developed and they want the community to benefit from the work that is displayed.
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Aneesh Tickoo is a consulting intern at MarktechPost. She is currently pursuing her bachelor’s degree in Information Science and Artificial Intelligence at the Indian Institute of Technology (IIT), Bhilai. She spends most of her time working on projects aimed at harnessing the power of machine learning. Her research interest is image processing and she is passionate about creating solutions around her. She loves connecting with people and collaborating on interesting projects.