3D GENERATION from a single image

Key Takeaways

creating accurate 3D models from just a single 2D image is an incredibly difficult challenge stability AI proposed another solution using video diffusion models the core idea revolves around combining video diffusion with neural Radiance field or Nerf models which typically require multiple images from various angles but the new approach uses just one image to generate the 3D model here are the main steps I tune a video diffusion model to generate an orbital video circling the object from the input to the image use this simulated multiv viw video to train a Nerf model that reconstructs the object's 3D shape refine the initial 3D model following dream Fusion stabilities text to 3D model evaluated on household objects this pipeline outperformed previous methods like aseret on 3D reconstruction accuracy to learn more about diffusion models check out our explainer linked here and let us know what other topics you'd like to be covered