QuenithAI/Video-Generation-Paper-List

Organizes papers across nine specialized research directions—text-to-video, image-to-video, video editing, controllable generation, audio-driven synthesis, human animation, acceleration techniques, and reinforcement learning approaches—with curated links to implementations and datasets. Maintains real-time tracking of accepted papers from top-tier conferences (CVPR, ICLR, AAAI) with direct access to arXiv preprints, project pages, and GitHub repositories. Designed as a community-driven resource with contribution workflows for researchers to submit new papers and methods in the video generation ecosystem.

119 stars.