Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches
Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu
摘要
We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation and conciseness of sketches. Ambiguities in poorly-drawn sketches could make it hard to determine how the sketched object is posed. In this paper, we address the importance of viewpoint specification for overcoming such ambiguities, and propose a novel view-aware generation approach. By explicitly conditioning the generation process on a given viewpoint, our method can generate plausible shapes automatically with predicted viewpoints, or with specified viewpoints to help users better express their intentions. Extensive evaluations on various datasets demonstrate the effectiveness of our view-aware design in solving sketch ambiguities and improving reconstruction quality.
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引用它的顶会 Paper24
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- 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
- SketchDream: Sketch-based Text-To-3D Generation and EditingFeng-Lin Liu, Hongbo Fu, Yu-Kun Lai, Lin GaoSIGGRAPH 2024 · 被引用 30 次
它引用的顶会 Paper2
- Soft Rasterizer: A Differentiable Renderer for Image-Based 3D ReasoningShichen Liu, Weikai Chen, Tianye Li, Hao LiICCV 2019 · 被引用 789 次
- Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D SupervisionMichael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas GeigerCVPR 2020
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