RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects

Fuente: arXiv
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Auteurs principaux: Debnath, Soumyaratna, Tiwari, Ashish, Sadekar, Kaustubh, Raman, Shanmuganathan
Format: Preprint
Publié: 2025
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author Debnath, Soumyaratna
Tiwari, Ashish
Sadekar, Kaustubh
Raman, Shanmuganathan
author_facet Debnath, Soumyaratna
Tiwari, Ashish
Sadekar, Kaustubh
Raman, Shanmuganathan
contents Recent advancements in learning-based methods have opened new avenues for exploring and interpreting art forms, such as shadow art, origami, and sketch art, through computational models. One notable visual art form is 3D Anamorphic Art in which an ensemble of arbitrarily shaped 3D objects creates a realistic and meaningful expression when observed from a particular viewpoint and loses its coherence over the other viewpoints. In this work, we build on insights from 3D Anamorphic Art to perform 3D object arrangement. We introduce RASP, a differentiable-rendering-based framework to arrange arbitrarily shaped 3D objects within a bounded volume via shadow (or silhouette)-guided optimization with an aim of minimal inter-object spacing and near-maximal occupancy. Furthermore, we propose a novel SDF-based formulation to handle inter-object intersection and container extrusion. We demonstrate that RASP can be extended to part assembly alongside object packing considering 3D objects to be "parts" of another 3D object. Finally, we present artistic illustrations of multi-view anamorphic art, achieving meaningful expressions from multiple viewpoints within a single ensemble.
format Preprint
id arxiv_https___arxiv_org_abs_2504_02465
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
Debnath, Soumyaratna
Tiwari, Ashish
Sadekar, Kaustubh
Raman, Shanmuganathan
Graphics
Computer Vision and Pattern Recognition
Recent advancements in learning-based methods have opened new avenues for exploring and interpreting art forms, such as shadow art, origami, and sketch art, through computational models. One notable visual art form is 3D Anamorphic Art in which an ensemble of arbitrarily shaped 3D objects creates a realistic and meaningful expression when observed from a particular viewpoint and loses its coherence over the other viewpoints. In this work, we build on insights from 3D Anamorphic Art to perform 3D object arrangement. We introduce RASP, a differentiable-rendering-based framework to arrange arbitrarily shaped 3D objects within a bounded volume via shadow (or silhouette)-guided optimization with an aim of minimal inter-object spacing and near-maximal occupancy. Furthermore, we propose a novel SDF-based formulation to handle inter-object intersection and container extrusion. We demonstrate that RASP can be extended to part assembly alongside object packing considering 3D objects to be "parts" of another 3D object. Finally, we present artistic illustrations of multi-view anamorphic art, achieving meaningful expressions from multiple viewpoints within a single ensemble.
title RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
topic Graphics
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2504.02465