1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion Model
Ziyu Yao, Xuxin Cheng, Zhiqi Huang
Talking head generation is a significant research topic that still faces numerous challenges. Previous works often adopt generative adversarial networks or regression models, which…
cs.CL2024★ 1 cited
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui +4
Standard language models generate text by selecting tokens from a fixed, finite, and standalone vocabulary. We introduce a novel method that selects context-aware phrases from a co…
cs.CV2024★ 1 cited
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
Bang Yang, Yong Dai, Xuxin Cheng +3
While vision-language pre-trained models (VL-PTMs) have advanced multimodal research in recent years, their mastery in a few languages like English restricts their applicability in…