We are releasing Implicitron, an extension of PyTorch3D that enables fast prototyping of 3D reconstruction and new-view synthesis methods based on rendering of implicit representations such as radiance fields, signed distance fields, and more.

We’re sharing a new approach for building computer vision systems that can more accurately recognize a wide range of common and uncommon objects. By using a simpler Transformer architecture together with Mask R-CNN and self-supervised pretraining, our ViTDet system outperforms previous methods.