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All SourcesarXiv
#video generation benchmark

RISE-Video: Can Video Generators Decode Implicit World Rules?

Intermediate
Mingxin Liu, Shuran Ma et al.Feb 5arXiv

RISE-Video is a new test that checks whether video-making AIs follow hidden world rules, not just make pretty pictures.

#Text-Image-to-Video#video generation benchmark#reasoning alignment

DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning

Intermediate
Mingshuang Luo, Shuang Liang et al.Jan 29arXiv

DreamActor-M2 is a new way to make a still picture move by copying motion from a video while keeping the character’s look the same.

#character image animation#spatiotemporal in-context learning#video diffusion

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

Intermediate
Yuanhao Cai, Kunpeng Li et al.Dec 31arXiv

This paper teaches text-to-video models to follow real-world physics, so people, balls, water, glass, and fire act the way they should.

#text-to-video generation#physical consistency#direct preference optimization