Low-Rank Similarity Mining for Multimodal Dataset Distillation
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Abstract (arXiv)
Though dataset distillation has witnessed rapid development in recent years, the distillation of multimodal data, e.g., image-text pairs, poses unique and under-explored challenges. Unlike unimodal data, image-text contrastive learning (ITC) data lack inherent categorization and should instead place greater emphasis on modality correspondence. In this work, we propose Low-Rank Similarity Mining (LoRS) for multimodal dataset distillation, that concurrently distills a ground truth similarity matrix with image-text pairs, and leverages low-rank factorization for efficiency and scalability. The proposed approach brings significant improvement to the existing algorithms, marking a significant contribution to the field of visual-language dataset distillation. We advocate adopting LoRS as a foundational synthetic data setup for image-text dataset distillation. Our code is available at https://github.com/silicx/LoRS_Distill.
Key facts. Cited by 16 papers in the map (data through 13 Oct 2026). Builds on 49 of its 68 references that are in the map. First posted on arXiv 6 Jun 2024.
Builds on
49 of 68 references.
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Citing papers per year: 2024: 1; 2025: 9; 2026: 6.
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- 2025The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutionscited by 25
- 2024Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarioscited by 18
- 2025Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillationcited by 6
- 2025Efficient Multimodal Dataset Distillation via Generative Modelscited by 6
- 2025ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensationcited by 4
- 2026Multimodal Distribution Matching for Vision-Language Dataset Distillationcited by 3
- 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encodercited by 2
- 2025Multi-Modal Dataset Distillation in the Wildcited by 1
- 2026Multimodal Dataset Distillation via Phased Teacher Modelscited by 1
- 2025Leveraging Multi-Modal Information to Enhance Dataset Distillationcited by 0
- 2025Technical Report on Text Dataset Distillationcited by 0
- 2025Distill Video Datasets into Imagescited by 0
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- 2026Omnimodal Dataset Distillation via High-order Proxy Alignmentcited by 0
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- 2026Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillationcited by 0
- 2026Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation28 Jun 2026
- 2026Multimodal Distribution Matching for Vision-Language Dataset Distillation22 May 2026
- 2026CAST: Collapse-Aware multi-Scale Topology Fusion for Multimodal Coreset Selection12 May 2026
- 2026Omnimodal Dataset Distillation via High-order Proxy Alignment12 Apr 2026
- 2026Multimodal Dataset Distillation via Phased Teacher Models26 Mar 2026
- 2026Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis23 Feb 2026
- 2025Distill Video Datasets into Images16 Dec 2025
- 2025Technical Report on Text Dataset Distillation3 Dec 2025
- 2025ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation11 Nov 2025
- 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder21 Oct 2025
- 2025Efficient Multimodal Dataset Distillation via Generative Models18 Sep 2025
- 2025Multi-Modal Dataset Distillation in the Wild2 Jun 2025
4 more
- 2025Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation16 May 2025
- 2025Leveraging Multi-Modal Information to Enhance Dataset Distillation13 May 2025
- 2025The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions8 Feb 2025
- 2024Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios22 Oct 2024
- 2026Multimodal Dataset Distillation via Phased Teacher Models26 Mar 2026
- 2025The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutionscited by 25
- 2024Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarioscited by 18
- 2025Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillationcited by 6
- 2025Efficient Multimodal Dataset Distillation via Generative Modelscited by 6
- 2025ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensationcited by 4
- 2026Multimodal Distribution Matching for Vision-Language Dataset Distillationcited by 3
- 2025Multi-Modal Dataset Distillation in the Wildcited by 1
- 2025Leveraging Multi-Modal Information to Enhance Dataset Distillationcited by 0
- 2025Technical Report on Text Dataset Distillationcited by 0
- 2025Distill Video Datasets into Imagescited by 0
- 2026Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesiscited by 0
- 2026Omnimodal Dataset Distillation via High-order Proxy Alignmentcited by 0
- 2026Multimodal Distribution Matching for Vision-Language Dataset Distillation22 May 2026
- 2026Omnimodal Dataset Distillation via High-order Proxy Alignment12 Apr 2026
- 2026Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis23 Feb 2026
- 2025Distill Video Datasets into Images16 Dec 2025
- 2025Technical Report on Text Dataset Distillation3 Dec 2025
- 2025ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation11 Nov 2025
- 2025Efficient Multimodal Dataset Distillation via Generative Models18 Sep 2025
- 2025Multi-Modal Dataset Distillation in the Wild2 Jun 2025
- 2025Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation16 May 2025
- 2025Leveraging Multi-Modal Information to Enhance Dataset Distillation13 May 2025
- 2025The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions8 Feb 2025
- 2024Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios22 Oct 2024