3 papers
cs.CV2026
EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation
Jiaqi Xu, Kunzhe Huang, Xinyi Zou +5
This paper introduces EasyAnimate, an efficient and high quality video generation framework that leverages diffusion transformers to achieve high-quality video production, encompas…
cs.CV2025
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
Xiaoxiao He, Quan Dao, Ligong Han +14
Discrete diffusion models have achieved success in tasks like image generation and masked language modeling but face limitations in controlled content editing. We introduce DICE (D…
cs.CL2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
Jiapeng Wang, Chengyu Wang, Kunzhe Huang +2
Contrastive Language-Image Pre-training (CLIP) has been widely studied and applied in numerous applications. However, the emphasis on brief summary texts during pre-training preven…