Search papers, labs, and topics across Lattice.
Affiliation:
3
0
4
0
Redefining cross-modal fusion at the prototype level, ProtoHGF-Net significantly enhances target detection by suppressing background noise.
Mistakes in human demonstrations can enhance robot learning when properly harnessed, revealing a new dimension of value estimation that traditional methods overlook.
By explicitly bridging the gap between on-body appearances and flat layouts, BridgeDiff achieves state-of-the-art virtual try-off results, generating more realistic and structurally sound flat-garment representations.
