📚 3DV 2024 - Single-view 3D Reconstruction Paper List
📄 Paper List
1. Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture
Authors: Yixin Chen, Junfeng Ni, Nan Jiang, Yaowei Zhang, Yixin Zhu, Siyuan Huang
Affiliations: BIGAI, Tsinghua University, Peking University
Highlights:
- 提出 SSR(Single-view neural implicit Shape and Radiance field)框架,结合隐式形状建模与神经辐射场。
- 采用两阶段训练策略:首先通过 3D 监督学习形状,再联合 2D 渲染监督优化纹理表现。
- 有效缓解了图像到几何的形状-外观歧义问题。
- 在 3D-FRONT 和 Pix3D 上性能显著优于现有方法,提升重建精度分别为 27.7% 和 11.6%。
- 支持多视角新视图渲染、可编辑场景理解等扩展任务。
🔗 Resources
📄 Paper PDF | 🔗 Project Page | 💻 Code Repository
🔍 Keywords: Single-view 3D Reconstruction, Neural Implicit Surface, Radiance Field, SSR, Novel View Synthesis
🗂️ Dataset: 3D-FRONT, Pix3D