DD-Ranking reveals dataset distillation gains come from extra evaluation techniques rather than image quality, proposing fair metrics to assess true synthetic dataset value.
ARFP integrates key-bound face cloaking with adversarial restoration-aware training to resist inverse purification attacks while allowing authorized reversible recovery and tamper detection.
SAGL learns subspace-preserving sparse attention graphs from heterogeneous multiview data via bilinear attention and dynamic sparsity gating, outperforming state-of-the-art unsupervised transfer learning methods.
SocialDirector uses training-free cross-attention modulation to control actor-action mapping and directional targets in multi-person video generation, significantly improving interaction fidelity.
AtomWorld-Mem restores latent hidden dynamical states from atomistic snapshots via multi-scale memory to improve long-horizon kinetic Monte Carlo evolution and transfer across unseen alloys.
Attention transfer fails for four ViT families due to architectural mismatch, and adding the teacher's native components to students fully restores its effectiveness.