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). ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. Retrieved May 24, 2026, from https://4ort.xyz/entity/arapreg-an-as-rigid-as-possible-regularization-loss-for-learning-deformable-shape-generators
MLA“ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/arapreg-an-as-rigid-as-possible-regularization-loss-for-learning-deformable-shape-generators.
BibTeX@misc{4ortxyz_arapreg-an-as-rigid-as-possible-regularization-loss-for-learning-deformable-shape-generators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators}}, year = {2026}, url = {https://4ort.xyz/entity/arapreg-an-as-rigid-as-possible-regularization-loss-for-learning-deformable-shape-generators}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators — https://4ort.xyz/entity/arapreg-an-as-rigid-as-possible-regularization-loss-for-learning-deformable-shape-generators (retrieved 2026-05-24)
