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Explicitly disentangling and structuring spatial geometry latents via CR-GEO and routed optimization unlocks significantly more effective 3D reasoning from 2D images, pushing SPAR-Bench and SPBench performance to new heights.
LoRA's catastrophic forgetting problem can be solved by explicitly decoupling its factor updates and pushing new feature representations away from old ones, leading to state-of-the-art continual learning performance.
Generalizing to unseen compositions? This plug-and-play method leverages structure in the embedding space to adapt prompts, significantly boosting open-vocabulary zero-shot learning.
VLMs can now access the full visual hierarchy on-demand, thanks to a new cross-layer injection method that dynamically bridges vision encoders and LLMs.
