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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.
Generate diverse, physically plausible, and language-annotated whole-body motion data for humanoid robots at scale with this new interactive web-based pipeline.
See-through realism gets a boost: RT-GS lets Gaussian Splatting finally handle reflections and transparency like a boss.
Get 3x the imitation learning performance from your robot with just a few extra cameras.
