Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/v2a-mapper-a-lightweight-solution-for-vision-to-audio-generation-by-connecting-foundation-models
MLA“V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/v2a-mapper-a-lightweight-solution-for-vision-to-audio-generation-by-connecting-foundation-models.
BibTeX@misc{4ortxyz_v2a-mapper-a-lightweight-solution-for-vision-to-audio-generation-by-connecting-foundation-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models}}, year = {2026}, url = {https://4ort.xyz/entity/v2a-mapper-a-lightweight-solution-for-vision-to-audio-generation-by-connecting-foundation-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models — https://4ort.xyz/entity/v2a-mapper-a-lightweight-solution-for-vision-to-audio-generation-by-connecting-foundation-models (retrieved 2026-05-24)
