Research map / 3D vision / Face and shape
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency (CVPR 2023 · similarity 0.88)
- Unsupervised Learning of Intrinsic Structural Representation Points (CVPR 2020 · similarity 0.88)
- Learning to Infer and Execute 3D Shape Programs (ICLR 2019 · similarity 0.88)
- Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks (CVPR 2021 · similarity 0.88)
- Learning Shape Abstractions by Assembling Volumetric Primitives (CVPR 2017 · similarity 0.88)
- Learning Partonomic 3D Reconstruction from Image Collections (CVPR 2025 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
