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    • RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
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    • Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
    • Serial Lifelong Editing via Mixture of Knowledge Experts
    • Videomage: Multi-subject and motion customization of text-to-video diffusion models
    • EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
    • TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
    • Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment

Videomage: Multi-subject and motion customization of text-to-video diffusion models

Chi-Pin Huang
,
Yen-Siang Wu
,
Hung-Kai Chung
,
Kai-Po Chang
,
Fu-en Yang
,
Yu-Chiang Frank Wang
· 0 min read
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Type
1
Publication
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
Last updated on Dec 5, 2025
Source Themes
← Serial Lifelong Editing via Mixture of Knowledge Experts Jan 1, 0001
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction Jan 1, 0001 →

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