Papers3

#preference learning

Enhancing Spatial Understanding in Image Generation via Reward Modeling

Zhenyu Tang, Chaoran Feng et al.Feb 27arXiv

This paper teaches image generators to place objects in the right spots by building a special teacher called a reward model focused on spatial relationships.

#spatial reasoning#reward modeling#preference learning

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One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

Intermediate

Hongru Cai, Yongqi Li et al.Jan 26arXiv

Large language models often learn one-size-fits-all preferences, but people are different, so we need personalization.

#personalized alignment#reward modeling#meta-learning

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DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation

Intermediate

Jiawei Liu, Junqiao Li et al.Dec 24arXiv

DreaMontage is a new AI method that makes long, single-shot videos that feel smooth and connected, even when you give it scattered images or short clips in the middle.

#arbitrary frame conditioning#one-shot video generation#Diffusion Transformer

Not triaged yet