In this paper, we introduce X-Ray, an innovative approach to 3D generation that employs a new sequential representation, drawing inspiration from the depth-revealing capabilities of X-Ray scans to meticulously capture both the external and internal features of objects. Central to our method is the utilization of ray casting techniques originating from the camera's viewpoint, meticulously recording the geometric and textural details encountered across all intersected surfaces. This process efficiently condenses complete objects or scenes into a multi-frame format, just like videos. Such a structure ensures the 3D representation is composed solely of critical surface information. Highlighting the practicality and adaptability of our X-Ray representation, we showcase its utility in synthesizing 3D objects, employing a network architecture akin to that used in video diffusion models. The outcomes reveal our representation's superior performance in enhancing both the accuracy and efficiency of 3D synthesis, heralding new directions for ongoing research and practical implementations in the field.

通过借鉴X射线扫描的深度揭示能力，我们引入了一种创新的3D生成方法X-Ray，它采用了一种新的序列表示方法，精确捕捉了物体的外部和内部特征。我们的方法的核心是利用源自相机视图的光线投射技术，详细记录了所有相交表面上遇到的几何和纹理细节。这个过程可以将完整的物体或场景高效地压缩成一个多帧格式，就像视频一样。这种结构确保了3D表示仅由关键表面信息组成。通过展示X-Ray表示法在合成3D物体方面的实用性和适应性，我们展示了类似于视频扩散模型中使用的网络架构的效用。结果表明，我们的表示法在提高3D合成的准确性和效率方面表现出优异性能，为该领域的持续研究和实际应用开辟了新的方向。

X射线：一种用于生成的序列3D表示