19 citations · 25 across the 5 of their papers we have counts for
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cs.CV2026
Amplify What You Gaze At: Target Saliency Boosting in Text-to-Image Generation
Shengqi Dang, Zhengxi Yu, Feilin Han +2
Text-to-image generation has advanced in controlling what, where, and how objects appear, yet how visual attention is distributed among objects remains largely unexplored. In this…
cs.CV2025
VideoGen-Eval: Agent-based System for Video Generation Evaluation
Yuhang Yang, Ke Fan, Shangkun Sun +7
The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…
cs.CV2023★ 6 cited
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
Hong Chen, Xin Wang, Guanning Zeng +5
Customized text-to-video generation aims to generate text-guided videos with user-given subjects, which has gained increasing attention. However, existing works are primarily limit…