#artificial intelligence
Dec 2025
ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation
Experiments demonstrate that ContextAnyone improves both identity and fine-grained appearance consistency over existing reference-conditioned baselines while maintaining motion characteristics close to the underlying text-to-video generator.
Zi-Yang Mai, Yu-Wing Tai
· arXiv.org · 5 citations