mlsanityData to 14 Oct 2026

Vision + Language Applications: A Survey

arXiv 2305.14598 ↗First posted 24 May 2023cs.CV cs.MMcited by 8

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Abstract (arXiv)

Text-to-image generation has attracted significant interest from researchers and practitioners in recent years due to its widespread and diverse applications across various industries. Despite the progress made in the domain of vision and language research, the existing literature remains relatively limited, particularly with regard to advancements and applications in this field. This paper explores a relevant research track within multimodal applications, including text, vision, audio, and others. In addition to the studies discussed in this paper, we are also committed to continually updating the latest relevant papers, datasets, application projects and corresponding information at https://github.com/Yutong-Zhou-cv/Awesome-Text-to-Image

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 178 of its 232 references that are in the map. First posted on arXiv 24 May 2023.

Builds on

178 of 232 references.

References · 178

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38 more
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50 most cited of 178 All 178 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 2; 2026: 1.

8 papers.

  1. 2023A Survey on Video Diffusion Modelscited by 206
  2. 2024Multimodal Alignment and Fusion: A Surveycited by 74
  3. 2024K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferencescited by 16
  4. 2024Training and Serving System of Foundation Models: A Comprehensive Surveycited by 11
  5. 2025V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Interventioncited by 3
  6. 2025MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systemscited by 2
  7. 2026VideoWeave: A Data-Centric Approach for Efficient Video Understandingcited by 2
  8. 2024MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4cited by 0