RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar, Shanmuganathan Raman
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 4cf015ea-fa27-4cc3-89e0-965d3f67e745Cited by top-tier papers1
Ask how each one uses itBuilds on4
- Dual octree graph networks for learning adaptive volumetric shape representationsPeng-Shuai Wang, Yang Liu, Xin TongSIGGRAPH 2022 · 77 citations
- Learning Efficient Online 3D Bin Packing on Packing Configuration TreesHang Zhao, Yang Yu, Kai XuICLR 2022 · 56 citations
- Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D ObjectsQiaodong Cui, Victor Rong, Desai Chen, Wojciech MatusikSIGGRAPH 2023 · 26 citations
- Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete CounterpartsNikolas Lamb, Cameron Palmer, Benjamin Molloy, Sean Banerjee et al.CVPR 2023
Related papers
- Scratch-based Reflection Art via Differentiable RenderingPengfei Shen, Rui-Zeng Li, Beibei Wang, Ligang LiuSIGGRAPH 2023 · 11 citations
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape OptimizationYue Jiang, Dantong Ji, Zhizhong Han, Matthias ZwickerCVPR 2020
- ShadowDraw: From Any Object to Shadow-Drawing Compositional ArtRundong Luo, Noah Snavely, Wei-Chiu MaCVPR 2026 · 1 citation
- What You Can Reconstruct from a ShadowRuoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park et al.CVPR 2023
- REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout AlignmentHaonan Han, Rui Yang, Huan Liao, Jiankai Xing et al.ICCV 2025 · 4 citations
