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All SourcesarXiv
#controllable video generation

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

Beginner
Nate Gillman, Yinghua Zhou et al.Jan 9arXiv

Video models can now be told what physical result you want (like “make this ball move left with a strong push”) using Goal Force, instead of just vague text or a final picture.

#goal force#force vector control#visual planning

EasyV2V: A High-quality Instruction-based Video Editing Framework

Intermediate
Jinjie Mai, Chaoyang Wang et al.Dec 18arXiv

EasyV2V is a simple but powerful system that edits videos by following plain-language instructions like “make the shirt blue starting at 2 seconds.”

#instruction-based video editing#spatiotemporal mask#text-to-video fine-tuning

World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty

Intermediate
Zhiting Mei, Tenny Yin et al.Dec 5arXiv

This paper teaches video-making AI models to say how sure they are about each tiny part of every frame they create.

#controllable video generation#uncertainty quantification#calibration