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). PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/pu-eva-an-edge-vector-based-approximation-solution-for-flexible-scale-point-cloud-upsampling
MLA“PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pu-eva-an-edge-vector-based-approximation-solution-for-flexible-scale-point-cloud-upsampling.
BibTeX@misc{4ortxyz_pu-eva-an-edge-vector-based-approximation-solution-for-flexible-scale-point-cloud-upsampling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling}}, year = {2026}, url = {https://4ort.xyz/entity/pu-eva-an-edge-vector-based-approximation-solution-for-flexible-scale-point-cloud-upsampling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling — https://4ort.xyz/entity/pu-eva-an-edge-vector-based-approximation-solution-for-flexible-scale-point-cloud-upsampling (retrieved 2026-05-24)
