X-Ray: A Sequential 3D Representation For Generation Tao Hu Wenhang Ge2
–Neural Information Processing Systems
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 multiframe video format, motivating the utilization 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.
Neural Information Processing Systems
May-25-2025, 20:59:30 GMT
- Country:
- Asia > Japan
- North America > United States (0.46)
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Information Technology (0.46)
- Technology: