DAG amendment for inverse control of parametric shapes
Élie Michel, Tamy Boubekeur
摘要
Parametric shapes model objects as programs producing a geometry based on a few semantic degrees of freedom, called hyper-parameters. These shapes are the typical output of non-destructive modeling, CAD modeling or rigging. However they suffer from the core issue of being manipulated only indirectly, through a series of values rather than the geometry itself. In this paper, we introduce an amendment process of the underlying direct acyclic graph (DAG) of a parametric shape. This amendment enables a local differentiation of the shape w.r.t. its hyper-parameters that we leverage to provide interactive direct manipulation of the output. By acting on the shape synthesis process itself, our method is agnostic to the variations of the connectivity and topology that may occur in its output while changing the input hyper-parameters. Furthermore, our method is oblivious to the internal logic of the DAG nodes. We illustrate our approach on a collection of examples combining the typical nodes found in modern parametric modeling packages - such as deformation, booleans and surfacing operators - for which our method provides the user with inverse control over the hyper-parameters through a brush stroke metaphor.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper8
- pARam: Leveraging Parametric Design in Extended Reality to Support the Personalization of Artifacts for Personal FabricationEvgeny Stemasov, Simon Demharter, Max Rädler, Jan Gugenheimer 等CHI 2024 · 被引用 24 次
- ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured PrimitivesR. Kenny Jones, Paul Guerrero, Niloy J. Mitra, Daniel RitchieSIGGRAPH 2023 · 被引用 19 次
- Understanding and Supporting Debugging Workflows in CADFelix Hähnlein, Gilbert Bernstein, Adriana SchulzUIST 2024 · 被引用 5 次
- B-rep Matching for Collaborating Across CAD SystemsBenjamin T. Jones, James Noeckel, Milin Kodnongbua, Ilya Baran 等SIGGRAPH 2023 · 被引用 4 次
- CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD ProgramsHaocheng Yuan, Jing Xu, Hao Pan, Adrien Bousseau 等CVPR 2024 · 被引用 3 次
它引用的顶会 Paper5
- AMASS: Archive of Motion Capture As Surface ShapesNaureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll 等ICCV 2019 · 被引用 1,784 次
- Inference Stage Optimization for Cross-scenario 3D Human Pose EstimationJianfeng Zhang, Xuecheng Nie, Jiashi FengNeurIPS 2020 · 被引用 53 次
- Human-in-the-loop differential subspace search in high-dimensional latent spaceChia-Hsing Chiu, Yuki Koyama, Yu-Chi Lai, Takeo Igarashi 等SIGGRAPH 2020 · 被引用 45 次
- Interactive Exploration and Refinement of Facial Expression using Manifold LearningRinat Abdrashitov, Fanny Chevalier, Karan SinghUIST 2020 · 被引用 15 次
- Learning Generative Models of Shape HandlesMatheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech 等CVPR 2020
相关 Paper
- Squidgets: Sketch-based Widget Design for Scene ManipulationJoonho Kim, Fanny Chevalier, Karan SinghUIST 2025
- SPAGHETTI: editing implicit shapes through part aware generationAmir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung 等SIGGRAPH 2022 · 被引用 59 次
- Neural scene graph renderingJonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan NovákSIGGRAPH 2021 · 被引用 13 次
- CADModelScope: Revealing the Dependency Structure Behind Parametric Computer-Aided Design ModelsYuanzhe Deng, Zhijing Zhang, Shurui Zhou, Alison OlechowskiCHI 2026 · 被引用 1 次
- Understanding the Challenges of OpenSCAD Users for 3D PrintingJohann Felipe Gonzalez Avila, Thomas Pietrzak, Audrey Girouard, Géry CasiezCHI 2024 · 被引用 6 次
