BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation

In this episode of the Talking Papers Podcast, I hosted David Lindell to chat about his paper “BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation”, published in CVPR 2022.

Learning Smooth Neural Functions via Lipschitz Regularization

In this episode of the Talking Papers Podcast, I hosted Hsueh-Ti Derek Liu to chat about his paper “Learning Smooth Neural Functions via Lipschitz Regularization”, published in SIGGRAPH 2022.

DiGS: Divergence guided shape implicit neural representation for unoriented point clouds

In this episode of the Talking Papers Podcast, I hosted Chamin Hewa Koneputugodage to chat about our paper “DiGS: Divergence guided shape implicit neural representation for unoriented point clouds”, published in CVPR 2022.

Neural RGB-D Surface Reconstruction

In this episode of the Talking Papers Podcast, I hosted Dejan Azinović to chat about his paper “Neural RGB-D Surface Reconstruction”, published in CVPR 2022.