M-ORE decouples text and visual update statistics in MLLMs and applies recursive low-rank edits in an orthogonal subspace to reduce cross-modal conflict and long-horizon interference.
Llms meet multimodal generation and editing: A survey.arXiv preprint arXiv:2405.19334
3 Pith papers cite this work. Polarity classification is still indexing.
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ScopeEdit decomposes MLLM edits into modality-local and evidence-gated shared branches using orthogonal low-rank spaces and recursive updates to improve scoped cross-modal transfer while preserving locality and efficiency.
A distilled multimodal diffusion model generates audio from text, video, or audio in four steps with claimed superior quality and ~25× fewer function evaluations.
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