DualSDF: Semantic Shape Manipulation Using a Two-Level Representation
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie
2020年份
43顶会引用
摘要
Figure 1 : DualSDF represents shapes using two levels of granularity, allowing users to manipulate high resolution shapes (odd rows) with high-level concepts through manipulating a proxy primitive-based shape (even rows). Simple editing operations on individual primitives (colored in blue) are propagated to the other primitives and the fine-grained model in a semantically meaningful manner. Above, we illustrate how an existing shape (inside the red box) can be modified semantically by adjusting the radius of a primitive (fuselage diameter on the airplane) or the distance between two primitives (wheelbase of a car).
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 Paper43
- Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape SynthesisTianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu 等NeurIPS 2021 · 被引用 652 次
- Modulated Periodic Activations for Generalizable Local Functional RepresentationsIshit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman 等ICCV 2021 · 被引用 188 次
- Geometry Processing with Neural FieldsGuandao Yang, Serge J. Belongie, Bharath Hariharan, Vladlen KoltunNeurIPS 2021 · 被引用 109 次
- SAPE: Spatially-Adaptive Progressive Encoding for Neural OptimizationAmir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung 等NeurIPS 2021 · 被引用 86 次
- Geometry-Consistent Neural Shape Representation with Implicit Displacement FieldsYifan Wang, Lukas Rahmann, Olga Sorkine-HornungICLR 2022 · 被引用 81 次
它引用的顶会 Paper4
- PointFlow: 3D Point Cloud Generation With Continuous Normalizing FlowsGuandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu 等ICCV 2019 · 被引用 794 次
- Learning Shape Templates With Structured Implicit FunctionsKyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna 等ICCV 2019 · 被引用 427 次
- Deep Parametric Shape Predictions Using Distance FieldsDmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang 等CVPR 2020
- Analyzing and Improving the Image Quality of StyleGANTero Karras, Samuli Laine, Miika Aittala, Janne Hellsten 等CVPR 2020
相关 Paper
- Residual Primitive Fitting of 3D Shapes with SuperFrustaAditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen 等CVPR 2026 · 被引用 5 次
- Rethinking 3D Shape Generation: Diffusion over SuperquadricsZhiyang Liu, Wanze Li, Yuwei Wu, Chengran Yuan 等ICML 2026
- Marching-Primitives: Shape Abstraction from Signed Distance FunctionWeixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. ChirikjianCVPR 2023
- DAG amendment for inverse control of parametric shapesÉlie Michel, Tamy BoubekeurSIGGRAPH 2021 · 被引用 29 次
- Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based AbstractionsEtai Sella, Hao Phung, Nitay Amiel, Or Litany 等SIGGRAPH 2026 · 被引用 2 次
