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Found 4 papers, 1 papers with code
LaMD: Latent Motion Diffusion for Video Generation
We present a latent motion diffusion (LaMD) framework, which consists of a motion-decomposed video autoencoder and a diffusion-based motion generator, to implement this idea.
Learning Human Cognitive Appraisal Through Reinforcement Memory Unit
We conceptualize the memory-enhancing mechanism as Reinforcement Memory Unit (RMU) that contains an appraisal state together with two positive and negative reinforcement memories.
Make It Move: Controllable Image-to-Video Generation with Text Descriptions
With both controllable appearance and motion, TI2V aims at generating videos from a static image and a text description.
Predicate correlation learning for scene graph generation
For a typical Scene Graph Generation (SGG) method, there is often a large gap in the performance of the predicates' head classes and tail classes.
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