Papers by Junxiang Qiu

1 papers
Multimodal Generation with Consistency Transferring (2025.findings-naacl)

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Challenge: Existing methods for multimodal content generation are limited to unimodal content production due to high training complexity, significant costs, and inadequate emphasis on model constraints.
Approach: They propose a method to generate multimodal content with constraints on adjacent steps and a layer-based layer-constrained transfer between adjacent steps to improve denoising capabilities.
Outcome: The proposed method improves the model’s ability to capture actions and depict backgrounds more effectively and improves video generation speed by approximately 40% and quality by about 39.3%.

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