  We introduce X-Ray, a novel 3D sequential representation inspired by the
penetrability of x-ray scans. X-Ray transforms a 3D object into a series of
surface frames at different layers, making it suitable for generating 3D models
from images. Our method utilizes ray casting from the camera center to capture
geometric and textured details, including depth, normal, and color, across all
intersected surfaces. This process efficiently condenses the whole 3D object
into a multi-frame video format, motivating the utilize of a network
architecture similar to those in video diffusion models. This design ensures an
efficient 3D representation by focusing solely on surface information. Also, we
propose a two-stage pipeline to generate 3D objects from X-Ray Diffusion Model
and Upsampler. We demonstrate the practicality and adaptability of our X-Ray
representation by synthesizing the complete visible and hidden surfaces of a 3D
object from a single input image. Experimental results reveal the
state-of-the-art superiority of our representation in enhancing the accuracy of
3D generation, paving the way for new 3D representation research and practical
applications.
