A weakly-supervised pipeline that distills VLM functional part knowledge and multi-view spatial structure into a model for dense cross-category functional correspondence, outperforming baselines on new synthetic and real benchmarks.
The functional correspondence problem
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Weakly-Supervised Learning of Dense Functional Correspondences
A weakly-supervised pipeline that distills VLM functional part knowledge and multi-view spatial structure into a model for dense cross-category functional correspondence, outperforming baselines on new synthetic and real benchmarks.