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Forget fragmented architectures: UniMesh lets you edit 3D meshes iteratively with semantic prompts, bridging the gap between generation and understanding.
Encoding scene graphs in hyperbolic space unlocks significantly better hierarchical structure quality compared to Euclidean embeddings, leading to state-of-the-art graph-level scene understanding.
MLLMs struggle with spatial reasoning because they flatten geometric information too early; GUIDE fixes this by progressively injecting multi-granularity geometric priors into early layers, leading to substantial performance gains.
By explicitly enforcing action-conditioned consistency during training and distillation, MWM enables more reliable planning in imagined future spaces for embodied navigation.
By swapping out ConvGRUs for a novel ConvSS2D operator, StereoAdapter-2 achieves state-of-the-art zero-shot underwater stereo depth estimation with a single update step.
Achieve zero-shot robotic manipulation by guiding a hierarchical vision-language-action model with knowledge-guided trajectory planning, outperforming existing methods and eliminating the need for real-world data collection.
