Modality completion

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• UniMoCo: Unified Modality Completion for Robust Multi-Modal Embeddings
  17 May 2025 1 repository listed
  Additionally, we develop a specialized training strategy to align embeddings from both original and modality-completed inputs, ensuring consistency within the embedding space.
• RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
  25 Mar 2025 1 repository listed
  Recent advances in graph learning have paved the way for innovative retrieval-augmented generation (RAG) systems that leverage the inherent relational structures in graph data.
• Knowledge Bridger: Towards Training-free Missing Modality Completion
  27 Feb 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  In this study, we pose a new challenge: can we develop a missing modality completion model that is both resource-efficient and robust to OOD generalization?
• MC-DBN: A Deep Belief Network-Based Model for Modality Completion
  15 Feb 2024 1 repository listed
  Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring.
• Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
  7 Jul 2021 1 repository listed
  In large studies involving multi protocol Magnetic Resonance Imaging (MRI), it can occur to miss one or more sub-modalities for a given patient owing to poor quality (e.
• Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
  25 Jul 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We propose a new deep learning method for tumour segmentation when dealing with missing imaging modalities.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.