Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
摘要
Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. In this paper, we use an encoder/decoder architecture for the sketch to mesh translation. When integrated into a user interface that provides camera parameters for the sketches, this enables us to leverage its latent parametrization to represent and refine a 3D mesh so that its projections match the external contours outlined in the sketch. We will show that this approach is easy to deploy, robust to style changes, and effective. Furthermore, it can be used for shape refinement given only single pen strokes. We compare our approach to state-of-the-art methods on sketches-both hand-drawn and synthesized-and demonstrate that we outperform them.
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引用它的顶会 Paper22
- Locally Attentional SDF Diffusion for Controllable 3D Shape GenerationXin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong 等SIGGRAPH 2023 · 被引用 122 次
- Sketch and Text Guided Diffusion Model for Colored Point Cloud GenerationZijie Wu, Yaonan Wang, Mingtao Feng, He Xie 等ICCV 2023 · 被引用 55 次
- Control3D: Towards Controllable Text-to-3D GenerationYang Chen, Yingwei Pan, Yehao Li, Ting Yao 等ACM MM 2023 · 被引用 54 次
- Nano3D: A Training-Free Approach for Efficient 3D Editing Without MasksJunliang Ye, Shenghao Xie, Ruowen Zhao, Zhengyi Wang 等ICLR 2026 · 被引用 32 次
- Make-A-Shape: a Ten-Million-scale 3D Shape ModelKa-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan 等ICML 2024 · 被引用 29 次
它引用的顶会 Paper3
- MeshSDF: Differentiable Iso-Surface ExtractionEdoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard 等NeurIPS 2020 · 被引用 186 次
- UCLID-Net: Single View Reconstruction in Object SpaceBenoît Guillard, Edoardo Remelli, Pascal FuaNeurIPS 2020 · 被引用 8 次
- Mesh R-CNNGeorgia Gkioxari, Justin Johnson, Jitendra MalikICCV 2019
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