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All SourcesarXiv
#video diffusion models

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving

Intermediate
Yang Zhou, Hao Shao et al.Jan 4arXiv

DrivingGen is a new, all-in-one test that fairly checks how well AI can imagine future driving videos and motions.

#generative video#autonomous driving#world models

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Intermediate
Ruihang Chu, Yefei He et al.Dec 9arXiv

Wan-Move is a new way to control how things move in AI-generated videos by guiding motion directly inside the model’s hidden features.

#motion-controllable video generation#latent trajectory guidance#point trajectories

EgoX: Egocentric Video Generation from a Single Exocentric Video

Intermediate
Taewoong Kang, Kinam Kim et al.Dec 9arXiv

EgoX turns a regular third-person video into a first-person video that looks like it was filmed from the actor’s eyes.

#egocentric video generation#exocentric to egocentric#video diffusion models