Research map / 3D vision / Face and shape
3D Menagerie: Modeling the 3D Shape and Pose of Animals
Check 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.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GLoSS instead of SP for scan registration | Big cats scans · Big cats scans | average scan-to-mesh distance: 4.39 (σ=1.66) -> 3.22 (σ=1.34) | Helped |
Closest papers by meaning
- Learning the 3D Fauna of the Web (CVPR 2024 · similarity 0.88)
- SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild (NeurIPS 2026 · similarity 0.88)
- VAREN: Very Accurate and Realistic Equine Network (CVPR 2024 · similarity 0.87)
- Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance (NeurIPS 2025 · similarity 0.87)
- SAOR: Single-View Articulated Object Reconstruction (CVPR 2024 · similarity 0.85)
- Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding (NeurIPS 2024 · similarity 0.85)
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.