Papers with Video Generation

1 papers
VC4VG: Optimizing Video Captions for Text-to-Video Generation (2025.emnlp-main)

Copied to clipboard

Challenge: Recent advances in text-to-video generation highlight the critical role of high-quality video-text pairs in training models capable of producing coherent and instruction-aligned videos.
Approach: They propose a caption optimization framework tailored to the needs of T2V models.
Outcome: The proposed framework improves video caption quality and video generation performance.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations