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Discrete diffusion policies, typically used for image generation, turn out to be surprisingly effective and efficient asynchronous executors for robots acting in dynamic environments, outperforming traditional continuous control methods.
Sparse queries offer a surprisingly effective and efficient alternative to dense representations for image-to-3D generation, achieving comparable fidelity with less input-view bias.
See-through realism gets a boost: RT-GS lets Gaussian Splatting finally handle reflections and transparency like a boss.
Unlock autonomous driving with YouTube: a new label-free pretraining method learns driving representations directly from unposed in-the-wild videos, outperforming LiDAR baselines with only a single monocular camera.
Ditching explicit 3D geometry, RAYNOVA achieves SOTA multi-view video generation by modeling spatio-temporal relationships directly with a dual-causal autoregressive framework and Pl眉cker-ray positional encoding.
