Awesome

Vista3D: Unravel the 3D Darkside of a Single Image

Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang
National University of Singapore, Huawei Technologies Ltd

Arxiv | Demo

We embark on the age-old quest: unveiling the hidden dimensions of objects from mere glimpses of their visible parts. To address this, we present Vista3D, a framework that realizes swift and consistent 3D generation within a mere 5 minutes. At the heart of Vista3D lies a two-phase approach: the coarse phase and the fine phase. In the coarse phase, we rapidly generate initial geometry with Gaussian Splatting from a single image. In the fine phase, we extract a Signed Distance Function (SDF) directly from learned Gaussian Splatting, optimizing it with a differentiable isosurface representation. Furthermore, it elevates the quality of generation by using a disentangled representation with two independent implicit functions to capture both visible and obscured aspects of objects. Additionally, it harmonizes gradients from 2D diffusion prior with 3D-aware diffusion priors by angular diffusion prior composition.

Citation

@article{Vista3D,
  title={Vista3D: Unravel the 3D Darkside of a Single Image},
  author={Shen, Qiuhong and Yang, Xingyi, Michael Bi, Mi and Wang, Xinchao},
  journal={European Conference of Computer Vision},
  year={2024}
}