2 citations · 2 across the 5 of their papers we have counts for
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LLM-Driven Completeness and Consistency Evaluation for Cultural Heritage Data Augmentation in Cross-Modal Retrieval
Jian Zhang, Junyi Guo, Junyi Yuan +5
Cross-modal retrieval is essential for interpreting cultural heritage data, but its effectiveness is often limited by incomplete or inconsistent textual descriptions, caused by his…
EditGarment: An Instruction-Based Garment Editing Dataset Constructed with Automated MLLM Synthesis and Semantic-Aware Evaluation
Deqiang Yin, Junyi Guo, Huanda Lu +2
Instruction-based garment editing enables precise image modifications via natural language, with broad applications in fashion design and customization. Unlike general editing task…
HiGarment: Cross-modal Harmony Based Diffusion Model for Flat Sketch to Realistic Garment Image
Junyi Guo, Jingxuan Zhang, Fangyu Wu +5
Diffusion-based garment synthesis tasks primarily focus on the design phase in the fashion domain, while the garment production process remains largely underexplored. To bridge thi…
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution
Junyi Yuan, Jian Zhang, Fangyu Wu +3
China has a long and rich history, encompassing a vast cultural heritage that includes diverse multimodal information, such as silk patterns, Dunhuang murals, and their associated…