I had a score disappear even when the reviewer said they will maintain their score. So it has likely nothing to do with whether the score changed.

A self-supervised video representation model that allows visual tokens to move “off-the-grid” to represent scene elements consistently as they move across the image plane. We evaluate on downstream tasks including point tracking, monocular depth estimation, and object tracking.

moog-paper.github.io

*Moving Off-the-Grid: Scene-Grounded Video Representations*.

Thursday afternoon poster.

We learn per-object tokens (Neural Assets) that disentangle appearance and 3D pose from multi-object scenes. A sequence-of-tokens format allows us to reuse the text-to-image architecture of existing generative models.

neural-assets-paper.github.io

*Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models*.

Thursday morning poster.