TL;DRControl3Diff是结合扩散模型和3D GAN的3D扩散模型,其将潜在空间直观建模并允许通过控制输入快速生成3D图像。该方法在多个数据集中表现优秀,包括FFHQ, AFHQ, and ShapeNet。
Abstract
diffusion models have recently become the de-facto approach for generative modeling in the 2D domain. However, extending diffusion models to 3D is challenging due to the difficulties in acquiring 3D ground truth