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

Soumyaratna Debnath1*, Ashish Tiwari1*, Kaustubh Sadekar2, Shanmuganathan Raman1

1 Indian Institute Of Technology Gandhinagar         2 Portland State University

CVPR 2025

Paper (Coming Soon)        Code (Coming Soon)

Visualizing of the Optimization Process

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Abstract

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.

Results : Packing with IR-BPP Dataset

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Results : Packing into Arbitrary Shaped Containers

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Results : 3D Parts Reassembly with Fantastic Breaks Dataset

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Results : 3D Anamorphic Art

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