1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers
Zhaodong Bing, Linze Li, Jiajun Liang
Knowledge distillation (KD) in transformers often faces challenges due to misalignment in the number of attention heads between teacher and student models. Existing methods either…
cs.CV2024
MegActor-: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
Shurong Yang, Huadong Li, Juhao Wu +6
Diffusion models have demonstrated superior performance in the field of portrait animation. However, current approaches relied on either visual or audio modality to control charact…
cs.CV2024★ 1 cited
MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
Shurong Yang, Huadong Li, Juhao Wu +5
Despite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom…