
ChronoEdit achieves "physical perception" in image editing and action-conditioned world simulation through temporal reasoning, reconstructing image editing tasks as video generation problems, turning editing into a "start-to-finish" process to deduce changes, and enabling dynamic scene handling while maintaining character consistency.
Extract the last frame of the model's inference video as the edited image.
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ChronoEdit achieves "physical perception" in image editing and action-conditioned world simulation through temporal reasoning, reconstructing image editing tasks as video generation problems, turning editing into a "start-to-finish" process to deduce changes, and enabling dynamic scene handling while maintaining character consistency.
Extract the last frame of the model's inference video as the edited image.
If you have any questions, you can add WeChat: h12051015, remark: AI communication and learning.
Those interested in AI creation (short dramas, lip-syncing, face swapping, action imitation, music, etc., AI communication and learning) can also scan the code to join the group:
