Abstract: Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge. Existing 3D GANs ...
More demonstrations can be found on our project page and arXiv paper. For geometry reconstruction on TnT dataset, please download the preprocessed TnT_data. You also ...
Abstract: We present VGGT, a feed-forward neural network that directly infers all key 3D attributes of a scene, including camera parameters, point maps, depth maps, and 3D point tracks, from one, a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results