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SeedPolicy overcomes the long-horizon limitations of Diffusion Policies in robot manipulation by compressing temporal information with a novel gated attention mechanism, achieving state-of-the-art imitation learning performance with significantly fewer parameters than vision-language-action models.
Ditch optical flow for image alignment: DMAligner leverages diffusion models to synthesize novel views, sidestepping traditional warping's occlusion and illumination woes.
Unlock zero-shot 3D shape completion across diverse partial observations by exploiting geometric priors from 3D foundation models, without any training.
